Pyspark Data Engineer

1 week ago


Gurugaon Haryana India Dataeconomy Full time ₹ 20,00,000 - ₹ 25,00,000 per year

JobTitle: PySpark Data Engineer Experience: 5 – 8 Years Location: Hyderabad Employment Type: Full -Time JobSummary:We are looking for a skilledand experienced PySpark Data Engineer to join our growing dataengineering team. The ideal candidate will have 5–8 years of experience indesigning and implementing data pipelines using PySpark, AWS Glue,and Apache Airflow, with strong proficiency in SQL. You will beresponsible for building scalable data processing solutions, optimizing dataworkflows, and collaborating with cross -functional teams to deliverhigh -quality data assets.  KeyResponsibilities:· Design, develop, andmaintain large -scale ETL pipelines using PySpark and AWS Glue.· Orchestrate and scheduledata workflows using Apache Airflow.· Optimize data processingjobs for performance and cost -efficiency.· Work with large datasetsfrom various sources, ensuring data quality and consistency.· Collaborate with DataScientists, Analysts, and other Engineers to understand data requirements anddeliver solutions.· Write efficient, reusable,and well -documented code following best practices.· Monitor data pipeline healthand performance; resolve data -related issues proactively.· Participate in code reviews,architecture discussions, and performance tuning. Requirements· 5–8 years of experience in dataengineering roles.· Strong expertise in PySpark for distributed data processing.· Hands -on experience with AWSGlue and other AWS data services (S3, Athena, Lambda, etc.).· Experience with ApacheAirflow for workflow orchestration.· Strong proficiency in SQL for data extraction, transformation, and analysis.· Familiarity with datamodeling concepts and data lake/data warehouse architectures.· Experience with versioncontrol systems (e.g., Git) and CI/CD processes.· Ability to write clean,scalable, and production -grade code. Benefits Company standard benefits.


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