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 :
Graduate(BE / B.Tech) / Masters(ME / M.Tech / MS) in Computer Science or equivalent from a premier institute.