Job Description :

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.

- Positive 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)

📌 Azure Data Engineer - Hyd / Pune / Delhi / NCR (Hyderabad)
🏢 2COMs
📍 Hyderabad