Job Location: Bangalore/Bengaluru
JD – Azure Data Engineer
Must have:
- Overall experience of 5+ years
- Experience in Azure Cloud services & solutions
- Experience working with enterprise data warehouse
- Experience as an ETL/ELT Developer using various ETL/ELT tools such as Azure Synapse Pipelines & Azure Data Factory, Apache Spark Pools using python scripts
- Experience in Azure SQL databases across SQL DB, Managed instance & Data warehouse
- Experience in Azure platform services such as blob storage, event hubs, monitoring services
- Experience in creating data structures optimized for storage and various query patterns for e.g. Parquet
- Experience in building secured Power BI reports, dashboard, paginated reports
- Experience in working in an Agile SDLC methodology
- Experience in Azure DevOps Services using Azure Git Repos, deployment artefacts and release packages for Test & production environment
- Experience in building end-end scalable data solution, from sourcing raw data, transforming data to producing analytics reports
- Should have experience in developing a complete DWH ETL lifecycle
- Experience in Data Analysis, Data Modelling and Data Mart design
- Should have experience in developing ETL processes – ETL control tables, error logging, auditing, data quality, etc. – using SSIS or Azure Data factory.
- Design, Develop and Debug complex ETL jobs using Data Integrator Scripts, Workflows, Dataflow, Data stores, Transforms and Functions.
- Should have worked at least 2 E2E implementation
- Worked on Change Data Capture on both SOURCE and TARGET level and good understanding of Slowly changing Dimension (SCD)
- Should be able to implement reusability, parameterization, workflow design, etc.
- Should have experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and Low/High level design documents
- Strong database development skills like complex SQL queries, complex stored procedures
- Able to work in Agile Framework Should have exposure to Scrum meetings.
Good to have:
- Exposure to other ETL/ELT, DWT technologies
- Hands on with Data visualization tools like Power BI, Tableau etc
- Exposure to Python (ETL and Data Visualisation libraries)
Additional Skills:
- Good Communication Skills.
- Able to deliver independently.
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