

This requirement is for Data Engineer in Gurugram for Data Analytics Project.
Building ETL/ELT pipelines of data from various sources using SQL/Python/Spark
Ensuring that data are modelled and processed according to architecture and requirements both
functional and non-functional
Understanding and implementing required development guidelines, design standards and best
practices Delivering right solution architecture, automation and technology choices
Working cross-functionally with enterprise architects, information security teams, and platform
teams Suggesting and implementing architecture improvements
Experience with programming languages such as Python or Scala
Knowledge of Data Warehouse, Business Intelligence and ETL/ELT data processing issues
Ability to create and orchestrate ETL/ELT processes in different tools (ADF, Databricks
Workflows) Experience working with Databricks platform: workspace, delta lake, workflows, jobs,
Unity Catalog Understanding of SQL and relational databases
Practical knowledge of various relational and non-relational database engines in the cloud (Azure
SQL Database, Azure Cosmos DB, Microsoft Fabric, Databricks)
Hands-on experience with data services offered by Azure cloud
Knowledge of Apache Spark (Databricks, Azure Synapse Spark Pools)
Experience in performing code review of ETL/ELT pipelines and SQL queries Analytical approach
to problem solvin

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