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Manager Data Engineering

Manager Data Engineering

6 - 11 years

|

19 - 27 Lacs

Posted:1 month ago| Platform:

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Skills Required

hive scala data warehousing azure data factory distributed computing sql cloud spark streaming spark gcp hadoop etl big data data lake hbase jira azure databricks python oozie microsoft azure warehouse data engineering sql server framework mapreduce kafka hdfs sqoop aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

About Company Job Description Key responsibilities: 1. Understand, implement, and automate ETL pipelines with better industry standards 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, design infrastructure for greater scalability, etc 3. Developing, integrating, testing, and maintaining existing and new applications 4. Design, and create data pipelines (data lake / data warehouses) for real world energy analytical solutions 5. Expert-level proficiency in Python (preferred) for automating everyday tasks 6. Strong understanding and experience in distributed computing frameworks, particularly Spark, Spark-SQL, Kafka, Spark Streaming, Hive, Azure Databricks etc 7. Limited experience in using other leading cloud platforms preferably Azure. 8. Hands on experience on Azure data factory, logic app, Analysis service, Azure blob storage etc. 9. Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how Git works 10. Must have 5-7 years of experience

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