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Job Type

Full Time

Job Description

Primary Job Title:

PySpark DeveloperRole & Responsibilities
  • Design, develop and maintain scalable PySpark ETL pipelines for batch and streaming workloads across data lakes and warehouses.
  • Ingest and transform data from diverse sources (Kafka, S3, HDFS, RDBMS) into analytics-ready formats using PySpark and Spark SQL.
  • Optimize Spark jobs for performance and cost—tune partitioning, memory, and compute configurations; implement job-level and cluster-level optimizations.
  • Integrate pipelines with orchestration and CI/CD systems (Apache Airflow, GitLab/GitHub CI), and implement unit/integration tests for data workflows.
  • Implement data quality checks, monitoring, logging and alerting to ensure pipeline reliability and SLA adherence.
  • Collaborate with data scientists, analysts and platform teams to define data schemas, metadata, and best-practice engineering playbooks.

Skills & Qualifications

Must-Have

  • PySpark
  • Apache Spark
  • Python
  • Spark SQL
  • Apache Hive
  • Apache Airflow

Preferred

  • Delta Lake
  • Apache Kafka
  • AWS
Skills: python,etl,apache spark

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