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
(ref : hirist.tech)
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Etl Consultant • Bangalore
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