Requirements :

- Strong Hands-on experience in implementing Data Lake with technologies like - Data Factory (ADF), ADLS, Databricks, Azure Synapse Analytics, Event Hub and Streaming Analytics, Cosmos DB and Purview.

- Experience in using big data technologies like Hadoop (CDH or HDP), Spark, Airflow, NiFi, Kafka, Hive, HBase or MongoDB, Neo4J, Elastic Search, Impala, Sqoop etc.

- Strong programming and debugging skills either in Python or Scala/Java.

- Experience in building REST services is good to have.

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

- Good understanding and Experience of using CI/CD with Git, Jenkins / Azure DevOps.

- Experience in setting up cloud-computing infrastructure solutions.

- Hands-on Experience/Exposure to NoSQL Databases and Data Modelling in Hive.

- 6+ years of technical experience with at least 2 years on MS Azure and 2 years on Hadoop (CDH/HDP).

- B.Tech/B.E from a reputed institute is preferred