Azure Data Engineer - Hyd Pune Delhi NCR

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 & metadatadriven data ingestion pipelines (For Batch and Streaming Datasets)

Conceptualize and execute highperformance 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 toolsrelated 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 highquality 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 realtime 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 (DP203) 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 serviceoriented 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 (DP203) or Databricks Certified Developer (DE)