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Azure Data Engineer

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Mangalore, India 2COMS Consulting Pvt. Ltd. Full time

As a Big Data Engineer (Azure), you will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure.


On a typical day, you might


● Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)


● Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization


● Schedule, orchestrate, and validate pipelines


● Design exception handling and log monitoring for debugging


● Ideate with your peers to make tech stack and tools-related decisions


● Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life. What do we expect?


● 4 to 9 years of total IT experience with 4+ years in big data engineering and Microsoft Azure


● Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database


● A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview


● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).


● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.


● Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search


● Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV


● Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects


Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner


● Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable addition



• Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database


• Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.


• Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java. Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search.


• Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV. Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.


• Good to have:


•Experience of working on Data Lake & Lakehouse projects


• Experience of building REST services and implementing service-oriented architectures.


• Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner.


• Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE)