Posted on: 31/08/2025
Key Responsibilities :
- Experience in data modelling and database design.
- Experience in MS SQL Server (i.e., tables, views, stored procedures, indexes, triggers, constraints, etc.)
- In-depth ETL development experience working with Microsoft SQL Integration Services (SSIS) or Azure data factory using all areas of the environment, including scripting.
- Hands on experience in writing complex SQL queries for KPI calculations
- Preferred experience in working on Azure Services like Azure Data Factory, Azure data lake storage (ADLS), Azure Blob Storage, Azure Synapse Analytics (Azure Data Warehouse), Azure Analysis Services
- Solid understanding of database design principles.
- Good to have experience in data migration between multiple environments, on premises to cloud, etc
- The candidate must also have had experience in data warehousing inclusive of dimensional modeling concepts and data lake concepts with practical knowledge of Data Modeling and implementation.
- Nice to have experience working with varied forms of data infrastructure inclusive of relational databases (MySQL, Oracle etc), column-oriented databases (Redshift, Teradata etc) & No SQL databases (Mongo DB, Cassandra etc) would be good to have.
- Demonstrate proficiency in at least one scripting languages, for example, Python, Scala, Power Shell etc. This would be again good to have.
- Experience in analysing very large real-world datasets and hands-on approach in data analytics will be a plus.
- Experience with Test Driven Development, Continuous Integration, Continuous Deployment etc.
- Strong analytical and technical skills.
- Good verbal and written communication.
Qualification :
- Graduate(BE/B.Tech)/ Masters(ME/M.Tech/MS) in Computer Science or equivalent from a premier institute.
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