SSDE – Data Engineer

Location – Hyderabad or Bangalore

Job/Role Description

  • Experience – 4 to 6 Years
  • Expertise in design and development of Data pipelines and ETL/ELT using ADF, Databricks to move data from relational/structured/unstructured data from source to data lake to data warehouse, on Azure.
  • Creating Pipelines and integrations of multiple data sources using Azure data factory and other integration technologies.
  • Good to have batch and streaming (Kafka, Spark Streaming, Stream Analytics)
  • Good to have Big data processing and transformation using Databricks (Scala/Python)
  • Good to have Expertise in optimizing cost and performance of data pipelines.

Primary Skills (Must have)

  • Azure SQL DB/DW.
  • Experience in implementing effective database solutions and data models to store and retrieve data.
  • Designing DB schema, data models on RDBMS and DW.
  • Programming and optimizing DB objects Views, Stored Procs, Functions.
  • b) Azure Data Lake or Blob storage.
  • c) Experience working with high volume data, large objects.        

Key Skills: ADF, Pyspark, Databricks, Synapse

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