Data Engineer/Etl
Budget: ₹75,000 – ₹150,000 INR
Data Engineer/ETL
Developer (Remote Position)
• Azure Data Factory (Advanced)
• Oracle SQL/PL-SQL (Advanced)
• T-SQL and Procedures (Advanced)
• Banking Domain (Advanced)
• Data warehousing Concepts (Advanced)
• Data Modelling (Intermediate)
Preferred Experience:
• 7+ Years of experience as Data Engineer/ETL Developer
• 3+ Years in ADF
• 3+ Years of experience in Banking Domain
• SAP BODS Experience is a Plus
• Advanced knowledge in creating pipelines and dataflows.
• Managing Org wide ADF platform (Security, Containers etc.)
• Good understanding Data Warehousing concepts and data modelling
Responsibilities:
• Work closely with Data analyst to understand the clinet's data needs and engineer a sophisticated, sustainable, scalable data warehouse
• Design and maintain the Enterprise Data warehouse data models and framework
• Design and maintain ETL jobs to source internal and external data from variety of sources includes structured and un-structed (for example, APIs, JSON, Streaming Data and so on).
• From given business queries design and deploy target Data warehouse data models and ETL jobs.
• Produce data pipeline from the Data technology stack for optimal extraction, transformation and loading of data.
• Analyze and improve existing data solutions or replace with better alternatives
• Should have strong Knowledge of CI/CD process for ADF on Azure DevOps
Developer (Remote Position)
• Azure Data Factory (Advanced)
• Oracle SQL/PL-SQL (Advanced)
• T-SQL and Procedures (Advanced)
• Banking Domain (Advanced)
• Data warehousing Concepts (Advanced)
• Data Modelling (Intermediate)
Preferred Experience:
• 7+ Years of experience as Data Engineer/ETL Developer
• 3+ Years in ADF
• 3+ Years of experience in Banking Domain
• SAP BODS Experience is a Plus
• Advanced knowledge in creating pipelines and dataflows.
• Managing Org wide ADF platform (Security, Containers etc.)
• Good understanding Data Warehousing concepts and data modelling
Responsibilities:
• Work closely with Data analyst to understand the clinet's data needs and engineer a sophisticated, sustainable, scalable data warehouse
• Design and maintain the Enterprise Data warehouse data models and framework
• Design and maintain ETL jobs to source internal and external data from variety of sources includes structured and un-structed (for example, APIs, JSON, Streaming Data and so on).
• From given business queries design and deploy target Data warehouse data models and ETL jobs.
• Produce data pipeline from the Data technology stack for optimal extraction, transformation and loading of data.
• Analyze and improve existing data solutions or replace with better alternatives
• Should have strong Knowledge of CI/CD process for ADF on Azure DevOps