11+ ITL Jobs in India
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Roles and
Responsibilities
Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to
help us in configure and develop new AWS environments for our Enterprise Data Lake,
migrate the on-premise traditional workloads to cloud. Must have a sound
understanding of BI best practices, relational structures, dimensional data modelling,
structured query language (SQL) skills, data warehouse and reporting techniques.
Extensive experience in providing AWS Cloud solutions to various business
use cases.
Creating star schema data models, performing ETLs and validating results with
business representatives
Supporting implemented BI solutions by: monitoring and tuning queries and
data loads, addressing user questions concerning data integrity, monitoring
performance and communicating functional and technical issues.
Job Description: -
This position is responsible for the successful delivery of business intelligence
information to the entire organization and is experienced in BI development and
implementations, data architecture and data warehousing.
Requisite Qualification
Essential
-
AWS Certified Database Specialty or -
AWS Certified Data Analytics
Preferred
Any other Data Engineer Certification
Requisite Experience
Essential 4 -7 yrs of experience
Preferred 2+ yrs of experience in ETL & data pipelines
Skills Required
Special Skills Required
AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.
Bigdata: Databricks, Spark, Glue and Athena
Expertise in Lake Formation, Python programming, Spark, Shell scripting
Minimum Bachelor’s degree with 5+ years of experience in designing, building,
and maintaining AWS data components
3+ years of experience in data component configuration, related roles and
access setup
Expertise in Python programming
Knowledge in all aspects of DevOps (source control, continuous integration,
deployments, etc.)
Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD
Hands on ETL development experience, preferably using or SSIS
SQL Server experience required
Strong analytical skills to solve and model complex business requirements
Sound understanding of BI Best Practices/Methodologies, relational structures,
dimensional data modelling, structured query language (SQL) skills, data
warehouse and reporting techniques
Preferred Skills
Required
Experience working in the SCRUM Environment.
Experience in Administration (Windows/Unix/Network/
plus.
Experience in SQL Server, SSIS, SSAS, SSRS
Comfortable with creating data models and visualization using Power BI
Hands on experience in relational and multi-dimensional data modelling,
including multiple source systems from databases and flat files, and the use of
standard data modelling tools
Ability to collaborate on a team with infrastructure, BI report development and
business analyst resources, and clearly communicate solutions to both
technical and non-technical team members
Job Title: Credit Risk Analyst
Company: FatakPay FinTech
Location: Mumbai, India
Salary Range: INR 8 - 15 Lakhs per annum
Job Description:
FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.
Key Responsibilities:
- Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
- Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
- Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
- Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
- Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
- Prepare comprehensive reports on credit risk analyses and present findings to senior management.
- Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
- Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
- Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
- Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.
Qualifications:
- Minimum qualification: B.Tech or Engineering degree from a reputed institution.
- 2-4 years of experience in credit risk analysis, preferably in a fintech environment.
- Proficiency in data analysis, statistical modeling, and machine learning techniques.
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to present complex data insights clearly.
- A proactive approach to work in a fast-paced, technology-driven environment.
- Up-to-date knowledge of financial regulations and compliance standards.
We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!
Responsibilities include:
- Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
- Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
- Build data ingestion and data transformation infrastructure
- Automate infrastructure that the data science team uses
- Perform statistical analysis and tune the results so that the organization can make better-informed decisions
- Set up and manage AI development and product infrastructure
- Be a good team player, as coordinating with others is a must
• Development/Testing/Processes
• Developing effective QlikView/ Sense data models
• Developing front end applications using Qlik technology
• Utilizing scripting language to meet complex business requirements
• Utilizing Qlik Publisher / N printing capabilities
• Extract, transform and load (ETL) data from multiple data sources into the Qlik application
• Design, build, test and debug Qlik solutions based upon specified
requirements
• Follow implementation standards
• Utilize source control tools
• Follow deployment process
• Experience creating extract/transform/load routines from data sources
including SAP BW, SAP R/3, MS SQL Server, DB2, Oracle as well as other data sources
• Solid experience developing complex Qlik data models
Specific Responsibilities:
• Participating in business requirements and design review sessions
• Providing input on proposing, evaluating, and selecting appropriate
design alternatives which meet requirements and are consistent with our
current standards and processes
• Extracting, transforming and loading data into Qlik applications
• Developing, testing, debugging Qlik applications
• Migrating code across development and testing landscapes
• Creating publisher jobs
• Developing documentation
• Transferring knowledge and landing application to BI Support team
• Good communication skills and ability to interact with the customer
• Willingness to travel is mandatory
• Experience on Qlik sense, Geo Analytics an added advantage
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.
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
JOB SUMMARY: The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -
Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.
Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.
Working with Internal audit project teams to understand the analytics requirements for audit engagements.
Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.
Proficient in data management and data mining.
Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.
Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.
Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.
Establishing and maintaining relationships with all key stakeholders of internal audit.
Coaching other data analysts on analytics procedures, coding and tools.
Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.
Ensuring timely and accurate time tracking.
Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.
- Understand the business drivers and analytical use-cases.
- Translate use cases to data models, descriptive, analytical, predictive, and engineering outcomes.
- Explore new technologies and learn new techniques to solve business problems creatively
- Think big! and drive the strategy for better data quality for the customers.
- Become the voice of business within engineering and of engineering within the business with customers.
- Collaborate with many teams - engineering and business, to build better data products and services
- Deliver the projects along with the team collaboratively and manage updates to customers on time
What we're looking for :
- Hands-on experience in data modeling, data visualization, and pipeline design and development
- Hands-on exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
- Prior experience working with business stakeholders, in an enterprise space is a plus
- Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
- Experience in working independently and driving projects end to end, strong analytical skills.
at Fragma Data Systems
- Strong Python Coding skills and OOP skills
- Should have worked on Big Data product Architecture
- Should have worked with any one of the SQL-based databases like MySQL, PostgreSQL and any one of
- NoSQL-based databases such as Cassandra, Elasticsearch etc.
- Hands on experience on frameworks like Spark RDD, DataFrame, Dataset
- Experience on development of ETL for data product
- Candidate should have working knowledge on performance optimization, optimal resource utilization, Parallelism and tuning of spark jobs
- Working knowledge on file formats: CSV, JSON, XML, PARQUET, ORC, AVRO
- Good to have working knowledge with any one of the Analytical Databases like Druid, MongoDB, Apache Hive etc.
- Experience to handle real-time data feeds (good to have working knowledge on Apache Kafka or similar tool)
- Python and Scala (Optional), Spark / PySpark, Parallel programming