ADP India Pvt Ltd
Work on the latest Data technologies with different Sql, No-sql databases to architect, implement and manage Data lakes and Data warehouses.
Improvise on performance optimizations and best practices for scalable data models, pipelines and queries.
Leverage the right tools for the right job to deliver testable, maintainable, and modern data solutions
Partner with Chief architects, Data analysts, other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service.
Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA
Reduce technical debt over time with root cause identification and resolution of system problems.
Implement and document best practices, direction for data engineering and design across multiple projects and functional areas.
9 years of experience, with at least 4 years on working with data warehouses and lakes.
Very strong experience in relational SQL and noSQL databases like SQLServer, Oracle, Mongo.
Experience in architecting, implementing and managing data lakes.
Very strong understanding in Scala (Big Data), .NET good to have, SQL and Python.
Deep understanding and hands on experience in Big data technologies like Spark, Pyspark,
Experience in cloud preferably AWS
Good to have Oozie, Sqoop, Elastic Search more for Search engine.
Databricks is nice to have.
Good to have Tableau, understands Data science, Data analysis,
Expertise in data-structures, algorithms and object-oriented design patterns.
Knowledge about infrastructure automation.
Strong communication skills.
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