Job Location: Gurgaon/Gurugram

As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Azure Data Factory, Azure Databricks, Azure SQL DW and other Big Data related technologies). In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations.

Responsibilities:

• Defines, designs, develops and test software components/applications using Microsoft Azure- Databricks, ADF, ADL, Hive, Python, Databricks, SparkSql, PySpark.
  Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark
  Strong T-SQL skills with experience in Azure SQL DW
  Experience handling Structured and unstructured datasets
  Experience in Data Modeling and Advanced SQL techniques
  Experience implementing Azure Data Factory Pipelines using latest technologies and techniques.
• Good exposure in Application Development.

The candidate should work independently with minimal supervision. Must Have:

• Hands on experience with distributed computing framework like DataBricks, Hadoop, Hive, Spark-Ecosystem (Spark Core, PySpark, Spark Streaming)
• Willing to work with product teams to best optimize product features/functions (a MUST).
• Professional curiosity and the ability to enable yourself in new technologies and tasks.
• Good understanding of SQL and a good grasp of relational and analytical database management theory and practice.
• Familiar with the cloud platforms (AWS, Azure, GCP).
• General programming skills (Python, Scala).
• Basic knowledge of Data Warehouses is a nice to have.

• Keywords: Python, SQL, Pyspark, Spark Ecosystem, Databricks and Azure Data Factory, Data Modelling, ETL Methodology, Synaps .

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