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Data Warehouse (DWH) Jobs in Chennai

9+ Data Warehouse (DWH) Jobs in Chennai | Data Warehouse (DWH) Job openings in Chennai

Apply to 9+ Data Warehouse (DWH) Jobs in Chennai on CutShort.io. Explore the latest Data Warehouse (DWH) Job opportunities across top companies like Google, Amazon & Adobe.

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AxionConnect Infosolutions Pvt Ltd
Shweta Sharma
Posted by Shweta Sharma
Pune, Bengaluru (Bangalore), Hyderabad, Nagpur, Chennai
5.5 - 7 yrs
₹20L - ₹25L / yr
skill iconDjango
skill iconFlask
Snowflake
Snow flake schema
SQL
+4 more

Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur

Notice period: Immediate - 15 days

 

1.      Python Developer with Snowflake

 

Job Description :


  1. 5.5+ years of Strong Python Development Experience with Snowflake.
  2. Strong hands of experience with SQL ability to write complex queries.
  3. Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
  4.  Development of Data Analysis, Data Processing engines using Python
  5. Good Experience in Data Transformation using Python. 
  6.  Experience in Snowflake data load using Python.
  7.  Experience in creating user-defined functions in Snowflake.
  8.  Snowsql implementation.
  9.  Knowledge of query performance tuning will be added advantage.
  10. Good understanding of Datawarehouse (DWH) concepts.
  11.  Interpret/analyze business requirements & functional specification
  12.  Good to have DBT, FiveTran, and AWS Knowledge.
Read more
InfoCepts
Lalsaheb Bepari
Posted by Lalsaheb Bepari
Chennai, Pune, Nagpur
7 - 10 yrs
₹5L - ₹15L / yr
Spark
Hadoop
Big Data
Data engineering
PySpark
+5 more

Responsibilities:

 

• Designing Hive/HCatalog data model includes creating table definitions, file formats, compression techniques for Structured & Semi-structured data processing

• Implementing Spark processing based ETL frameworks

• Implementing Big data pipeline for Data Ingestion, Storage, Processing & Consumption

• Modifying the Informatica-Teradata & Unix based data pipeline

• Enhancing the Talend-Hive/Spark & Unix based data pipelines

• Develop and Deploy Scala/Python based Spark Jobs for ETL processing

• Strong SQL & DWH concepts.

 

Preferred Background:

 

• Function as integrator between business needs and technology solutions, helping to create technology solutions to meet clients’ business needs

• Lead project efforts in defining scope, planning, executing, and reporting to stakeholders on strategic initiatives

• Understanding of EDW system of business and creating High level design document and low level implementation document

• Understanding of Big Data Lake system of business and creating High level design document and low level implementation document

• Designing Big data pipeline for Data Ingestion, Storage, Processing & Consumption

Read more
ZF india
Sagar Sthawarmath
Posted by Sagar Sthawarmath
Hyderabad, Chennai
4 - 9 yrs
₹3L - ₹15L / yr
SAS
skill iconData Analytics
Data Visualization
Data integration
Data Warehouse (DWH)

In this role, you will: 

As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for: 

    • Understand business objectives and provide credible challenge to analysis requirements. 
    • Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. 
    • Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy. 
    • Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results. 
    • Ensure adherence to data management/ data governance regulations and policies. 
    • Performing and testing highly complex data analytics for customer remediation. 
    • Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed. 
    • Investigate and ensure data integrity from multiple sources. 
    • Ensure data recommended and used is the best “source of truth”. 
    • Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources. 
    • Must have a strong attention to detail and be able to meet high quality standards consistently. 
    • Other duties as assigned by manager. 
    • Willing to assist on high priority work outside of regular business hours or weekend as needed. 


Essential Qualifications: 
 

    • Around 5+ years in similar analytics roles 
    • Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 
    • Preferred programming knowledge SQL/SAS  
    • Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus. 
    • Strong experience with data integration, database structures and data warehouses. 
    • Persuasive written and verbal communication skills. 


Desired Qualifications: 

    • Certifications in Data Science, or BI Reporting tools. 
    • Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills. 
    • Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities. 
    • Ability to research and report on a variety of issues using problem solving skills. 
    • Ability to act with integrity and a high level of professionalism with all levels of team members and management. 
    • Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment. 
    • Ability to learn the business aspects quickly, multitask and prioritize between projects. 
    • Exhibits appropriate sense of urgency in managing responsibilities. 
    • Ability to accurately process high volumes of work within established deadlines. 
    • Available to flex schedule periodically based on business need. 
    • Demonstrate strong negotiation, communication & presentation skills. 
    • Demonstrates a high degree of reliability, integrity and trustworthiness. 
    • Takes ownership of assignments and helps drive assignments of the team. 
    • Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player. 
    • Be proactive and get engaged in organizational initiatives.
Read more
Tredence
Rohit S
Posted by Rohit S
Chennai, Pune, Bengaluru (Bangalore), Gurugram
11 - 16 yrs
₹20L - ₹32L / yr
Data Warehouse (DWH)
Google Cloud Platform (GCP)
skill iconAmazon Web Services (AWS)
Data engineering
Data migration
+1 more
• Engages with Leadership of Tredence’s clients to identify critical business problems, define the need for data engineering solutions and build strategy and roadmap
• S/he possesses a wide exposure to complete lifecycle of data starting from creation to consumption
• S/he has in the past built repeatable tools / data-models to solve specific business problems
• S/he should have hand-on experience of having worked on projects (either as a consultant or with in a company) that needed them to
o Provide consultation to senior client personnel o Implement and enhance data warehouses or data lakes.
o Worked with business teams or was a part of the team that implemented process re-engineering driven by data analytics/insights
• Should have deep appreciation of how data can be used in decision-making
• Should have perspective on newer ways of solving business problems. E.g. external data, innovative techniques, newer technology
• S/he must have a solution-creation mindset.
Ability to design and enhance scalable data platforms to address the business need
• Working experience on data engineering tool for one or more cloud platforms -Snowflake, AWS/Azure/GCP
• Engage with technology teams from Tredence and Clients to create last mile connectivity of the solutions
o Should have experience of working with technology teams
• Demonstrated ability in thought leadership – Articles/White Papers/Interviews
Mandatory Skills Program Management, Data Warehouse, Data Lake, Analytics, Cloud Platform
Read more
GradMener Technology Pvt. Ltd.
Pune, Chennai
5 - 9 yrs
₹15L - ₹20L / yr
skill iconScala
PySpark
Spark
SQL Azure
Hadoop
+4 more
  • 5+ years of experience in a Data Engineering role on cloud environment
  • Must have good experience in Scala/PySpark (preferably on data-bricks environment)
  • Extensive experience with Transact-SQL.
  • Experience in Data-bricks/Spark.
  • Strong experience in Dataware house projects
  • Expertise in database development projects with ETL processes.
  • Manage and maintain data engineering pipelines
  • Develop batch processing, streaming and integration solutions
  • Experienced in building and operationalizing large-scale enterprise data solutions and applications
  • Using one or more of Azure data and analytics services in combination with custom solutions
  • Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers
  • In-depth understanding of data management (e. g. permissions, security, and monitoring).
  • Cloud repositories for e.g. Azure GitHub, Git
  • Experience in an agile environment (Prefer Azure DevOps).

Good to have

  • Manage source data access security
  • Automate Azure Data Factory pipelines
  • Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
  • Experience in implementing and maintaining CICD pipelines
  • Power BI understanding, Delta Lake house architecture
  • Knowledge of software development best practices.
  • Excellent analytical and organization skills.
  • Effective working in a team as well as working independently.
  • Strong written and verbal communication skills.
  • Expertise in database development projects and ETL processes.
Read more
Amagi Media Labs

at Amagi Media Labs

3 recruiters
Rajesh C
Posted by Rajesh C
Bengaluru (Bangalore), Chennai
12 - 15 yrs
₹50L - ₹60L / yr
skill iconData Science
skill iconMachine Learning (ML)
ETL
Data Warehouse (DWH)
skill iconAmazon Web Services (AWS)
+5 more
Job Title: Data Architect
Job Location: Chennai

Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery

Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models

About Condé Nast

CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.
Read more
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
Read more
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

 

Read more
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.

Read more
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