Overall, 6 to 10 years of experience in IT Industry.
Min 4 years of experience working on Data Engineering using Azure Databricks, Synapse, ADF.
At least 4 Project experience in Building and maintaining ETL / ELT pipelines for large data sets, complex data processing, transformations, business logics, cost monitoring & performance optimization, and feature engineering processes.
Must Have skills:
- Extensive experience with Azure Databricks (ADB), Azure Data Lake Storage (ADLS), Azure Data factory (ADF), Azure SQL Database (SQL DB), SQL, ELT / ETL Pipeline Development in Spark based environment.
- Experience in Real-Time Data Processing using Apache Kafka/Eventhub/IoT Hub, Structured Streaming and Stream analytics.
- Experience with SparkCore, Spark Streaming, PySpark, Python, SparkSQL, Scala, Azure Blob Storage.
- Experience with CI/CD tools like GitHub, Azure DevOps.
Good to have:
- Experience with Apache Airflow
- Experience with infrastructure management (e.g. Terraform)
- Experience with Version control tools, building CI/CD pipelines
- Experience with Azure cloud platform.
- Experience / Knowledge on Containerizations - Docker, Kubernetes
- Experience wo...
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