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Data modeling Jobs in Chennai

11+ Data modeling Jobs in Chennai | Data modeling Job openings in Chennai

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Tredence
Bengaluru (Bangalore), Pune, Gurugram, Chennai
8 - 12 yrs
₹12L - ₹30L / yr
Snow flake schema
Snowflake
SQL
Data modeling
Data engineering
+1 more

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

 

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

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Crayon Data

at Crayon Data

2 recruiters
Varnisha Sethupathi
Posted by Varnisha Sethupathi
Chennai
5 - 8 yrs
₹15L - ₹25L / yr
SQL
skill iconPython
Analytical Skills
Data modeling
Data Visualization
+1 more

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

 
 

Can you say “Yes, I have!” to the below? 
 
 

  1. Experience with exploratory analysis, statistical analysis, and model development 
     
  1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
     
  1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
     
  1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
     
  1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
     

 
 

 

Can you say “Yes, I will!” to the below? 
 
 

  1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
     
  1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
     
  1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
     
  1. Coordinate individual teams to fulfil client requirements and manage deliverable 
     
  1. Communicate and present complex concepts to business audiences 
     
  1. Travel to client locations when necessary  

 

 

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

 

 

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Leading Manufacturing Company

Leading Manufacturing Company

Agency job
Chennai
3 - 6 yrs
₹3L - ₹8L / yr
skill iconMachine Learning (ML)
skill iconData Science
Natural Language Processing (NLP)
Data modeling
skill iconData Analytics
+2 more

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

  • To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
  • Design and develop AI//ML models to be deployed across factories
  • Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
  • Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
  • Prior experience in developing AI and ML models is required
  • Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

  • Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
  • Multitasking, good communication necessary
  • Entrepreneurial attitude

Additional Information:

  • Travel:                                  Must be willing to travel on shorter duration within India and abroad
  • Job Location:                      Chennai
  • Reporting to:                      Team Leader, Energy Management System
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AppsTek Corp

AppsTek Corp

Agency job
via Venaatics Consulting by Mastanvali Shaik
Gurugram, Chennai
6 - 10 yrs
Best in industry
Data management
Data modeling
skill iconPostgreSQL
SQL
MySQL
+3 more

Function : Sr. DB Developer

Location : India/Gurgaon/Tamilnadu

 

>> THE INDIVIDUAL

  • Have a strong background in data platform creation and management.
  • Possess in-depth knowledge of Data Management, Data Modelling, Ingestion  - Able to develop data models and ingestion frameworks based on client requirements and advise on system optimization.
  • Hands-on experience in SQL database (PostgreSQL) and No-SQL database (MongoDB) 
  • Hands-on experience in performance tuning of DB
  • Good to have knowledge of database setup in cluster node
  • Should be well versed with data security aspects and data governance framework
  • Hands-on experience in Spark, Airflow, ELK.
  • Good to have knowledge on any data cleansing tool like apache Griffin
  • Preferably getting involved during project implementation so have a background on business knowledge and technical requirement as well.
  • Strong analytical and problem-solving skills. Have exposure to data analytics skills and knowledge of advanced data analytical tools will be an advantage.
  • Strong written and verbal communication skills (presentation skills).
  • Certifications in the above technologies is preferred.

 

>> Qualification

 

  1. Tech /B.E. / MCA /M. Tech from a reputed institute.

Experience of Data Management, Data Modelling, Ingestion for more than 4 years. Total experience of 8-10 Years

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Mobile Programming India Pvt Ltd

at Mobile Programming India Pvt Ltd

1 video
17 recruiters
Inderjit Kaur
Posted by Inderjit Kaur
Bengaluru (Bangalore), Chennai, Pune, Gurugram
4 - 8 yrs
₹9L - ₹14L / yr
ETL
Data Warehouse (DWH)
Data engineering
Data modeling
BRIEF JOB RESPONSIBILITIES:

• Responsible for designing, deploying, and maintaining analytics environment that processes data at scale
• Contribute design, configuration, deployment, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, enrichment, and loading of data into a variety of cloud data platforms, including AWS and Microsoft Azure
• Identify gaps and improve the existing platform to improve quality, robustness, maintainability, and speed
• Evaluate new and upcoming big data solutions and make recommendations for adoption to extend our platform to meet advanced analytics use cases, such as predictive modeling and recommendation engines
• Data Modelling , Data Warehousing on Cloud Scale using Cloud native solutions.
• Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions

COMPETENCIES
• Experience building, maintaining, and improving Data Models / Processing Pipeline / routing in large scale environments
• Fluency in common query languages, API development, data transformation, and integration of data streams
• Strong experience with large dataset platforms such as (e.g. Amazon EMR, Amazon Redshift, AWS Lambda & Fargate, Amazon Athena, Azure SQL Database, Azure Database for PostgreSQL, Azure Cosmos DB , Data Bricks)
• Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing.
• Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases
• Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools)
• Creativity to go beyond current tools to deliver the best solution to the problem
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A global business process management company

A global business process management company

Agency job
via Jobdost by Saida Jabbar
Gurugram, Pune, Mumbai, Bengaluru (Bangalore), Chennai, Nashik
4 - 12 yrs
₹12L - ₹15L / yr
Data engineering
Data modeling
data pipeline
Data integration
Data Warehouse (DWH)
+12 more

 

 

Designation – Deputy Manager - TS


Job Description

  1. Total of  8/9 years of development experience Data Engineering . B1/BII role
  2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
  3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
  4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
  5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
  6. Strong Python skill .
  7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
  8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
  9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

 

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netmedscom

at netmedscom

3 recruiters
Vijay Hemnath
Posted by Vijay Hemnath
Chennai
2 - 5 yrs
₹6L - ₹25L / yr
Big Data
Hadoop
Apache Hive
skill iconScala
Spark
+12 more

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

  • Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
  • Develop programs in Scala and Python as part of data cleaning and processing.
  • Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
  • Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
  • Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Provide high operational excellence guaranteeing high availability and platform stability.
  • Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

  • Experience with Big Data pipeline, Big Data analytics, Data warehousing.
  • Experience with SQL/No-SQL, schema design and dimensional data modeling.
  • Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
  • Experience in designing systems that process structured as well as unstructured data at large scale.
  • Experience in AWS/Spark/Java/Scala/Python development.
  • Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
  • Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
  • Prior exposure to streaming data sources such as Kafka.
  • Should have knowledge on Shell Scripting and Python scripting.
  • High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
  • Experience with NoSQL databases such as Cassandra / MongoDB.
  • Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
  • Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
  • Experience building and deploying applications on on-premise and cloud-based infrastructure.
  • Having a good understanding of machine learning landscape and concepts. 

 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

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Kaleidofin

at Kaleidofin

3 recruiters
Poornima B
Posted by Poornima B
Chennai, Bengaluru (Bangalore)
2 - 4 yrs
Best in industry
PowerBI
Business Intelligence (BI)
skill iconPython
Tableau
SQL
+1 more
We are looking for a developer to design and deliver strategic data-centric insights leveraging the next generation analytics and BI technologies. We want someone who is data-centric and insight-centric, less report centric. We are looking for someone wishing to make an impact by enabling innovation and growth; someone with passion for what they do and a vision for the future.

Responsibilities:
  • Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
  • Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
  • Become an expert on data and trends, both internal and external to Kaleidofin.
  • Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
  • Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
  • Automate scheduling and distribution of reports and support auditing and value realization.
  • Partner with enterprise architects to define and ensure proposed.
  • Business Intelligence solutions adhere to an enterprise reference architecture.
  • Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
 Requirements:
  • Experience leading development efforts through all phases of SDLC.
  • 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
  • Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
  • Hands on experience in SQL, data management, and scripting (preferably Python).
  • Strong data visualisation design skills, data modeling and inference skills.
  • Hands-on and experience in managing small teams.
  • Financial services experience preferred, but not mandatory.
  • Strong knowledge of architectural principles, tools, frameworks, and best practices.
  • Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
  • Preferred candidates with less than 30 days notice period.
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For a leading manufacturing company

For a leading manufacturing company

Agency job
Chennai
5 - 8 yrs
₹6L - ₹7L / yr
Relational Database (RDBMS)
NOSQL Databases
MySQL
MS SQLServer
SQL server
+13 more

Database Architect

5 - 6 Years

Good Knowledge in Relation and Non-Relational Database

To write Complex Queries and Identify problematic queries and provide a Solution

Good Hands on database tools

Experience in Both SQL and NON SQL Database like SQL Server, PostgreSQL, Mango DB, Maria DB. Etc.

Worked on Data Model Preparation & Structuring Database etc.

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Episource

at Episource

11 recruiters
Ashraff Shaik
Posted by Ashraff Shaik
Chennai
2 - 8 yrs
₹3L - ₹10L / yr
SQL
SQL server
SQL Server Integration Services (SSIS)
SSIS
Performance tuning
+2 more
  • MSSQL, SSIS, Performance Tuning, Data modeling.
  • Experience in No SQL tools is must
  • Candidate should have exposure to write scripts in Python/Node JS/MongoDB or any other tool
  • Maria DB/MYSQL, Mongo DB, Github, Jira
  • Understand Requirements from client and on-site team.
  • Participate in preparing design and data modelling.
  • Comfortable with SQL Stored procedures and queries development.
  • Comfortable with SQL Stored procedures and queries development.
  • Manage SQL Server through multiple product lifecycle / environments, from development to critical production systems.
  • Apply best in industry standard techniques for data modeling to ensure performance, integrate and requirement.
  • Ability to analyze independently problems and resolve them on time.
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LatentView Analytics

at LatentView Analytics

3 recruiters
Kannikanti madhuri
Posted by Kannikanti madhuri
Chennai
5 - 8 yrs
₹5L - ₹8L / yr
skill iconData Science
Analytics
skill iconData Analytics
Data modeling
Data mining
+7 more
Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.
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