Spark & Delta Lake Professional

7 - 12 years

6 - 10 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Looking for a skilled professional with expertise in Spark and Delta Lake to join our team. The ideal candidate will have 7-12 years of experience.
Roles and Responsibility
  • Design and implement data pipelines using Spark and Delta Lake as the data storage layer.
  • Develop and optimize Spark applications using Python, Scala, or Java.
  • Work with large datasets to ensure data quality and integrity.
  • Implement data partitioning and schema evolution techniques using Delta Lake.
  • Collaborate with cross-functional teams to integrate Spark applications with ETL processes.
  • Troubleshoot and resolve issues related to Spark application performance and data quality.
Job Requirements
  • Strong understanding of Spark core concepts including RDDs, DataFrames, DataSets, SparkSQL, and Spark Streaming.
  • Experience with Spark optimization techniques to improve application performance.
  • Deep knowledge of Delta Lake features such as time travel, schema evolution, and data partitioning.
  • Proficiency in Python, Scala, or Java for Spark development and integrating with ETL processes.
  • Knowledge of data ingestion techniques from various sources (flat files, CSV, API, database).
  • Understanding of data warehouse concepts and data modeling techniques.
  • Expertise in Git for code management.
  • Familiarity with CI/CD pipelines and containerization technologies.
  • Nice to have experience using data integration tools like DataStage/Prophecy/Informatica/Ab Initio.

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