Location : Pune/Chennai/Bangalore/Mumbai/Gurgaon
Year of Experience : 7+ Years
NP : 0-30 days
The detail JD are as follows :
· Should have 7+ Years of Relevant Experience
· 3+ Years of Experience in developing Big Data applications using Spark, Hive, Sqoop, Kafka, and Map Reduce
· 3+ years of experience in Agile/Kanban
· 6+ years of experience in ETL
· 6+ years of experience in DWH
· 4+ years of Experience with object-oriented/object function scripting languages: Python, Scala etc
· Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data
· Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs.
· Experience with data science and machine learning tools and technologies is a plus
· 6+ years of Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
· 5+ Years of Experience with Azure cloud nativce services Azure DataFactory, Azure DataBricks, ADLS
· Azure DataLake 5+ years of experiences
· Azure SQL/Snowflake or similar 5+ years of experiences
· Talend 3+ years of experiences
· Jira/Azure DevOps or similar 3+ years of experiences
· Confluence or similar 3+ years of experiences
· Should be able to maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity,
· Ability to perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
· Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
· Strong skills in DevOps practices and automation are important for streamlining data engineering operations.
· should have experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines, version control systems (e.g., Git), and automated testing frameworks.
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