Should design and build scalable and cost-effective public cloud (Azure) native solutions as per the business use cases. Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.)Hands on experience on building data engineering pipelines on Spark/ Data bricks (Azure)Hands on experience with stream data ingestion /processing with SparkHands on experience on other Azure native data technology stackAzure Data factory, Synapse, SnowflakeExposure to providing ETL solutions for Azure native stack and in Spark.Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse conceptsExperience in Dev Ops and CI/CDJenkins, Terraform (Azure) and containers (Docker)