- Experience with big data processing and distributed computing systems like Spark.
- Implement ETL pipelines and data transformation processes.
- Ensure data quality and integrity in all data processing workflows.
- Troubleshoot and resolve issues related to PySpark applications and workflows.
- Understand source, dependencies and data flow from converted PySpark code.
- Strong programming skills in Python and SQL.
- Experience with big data technologies like Hadoop, Hive, and Kafka.
- Understanding of data warehousing concepts and relational databases like SQL.
- Demonstrate and document code lineage.
- Integrate PySpark code with frameworks such as Ingestion Framework, DataLens, etc.,
- Ensure compliance with data security, privacy regulations, and organizational standards.
- Knowledge of CI/CD pipelines and DevOps practices.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities.
Qualifications
- 4+ years of experience in big data development, Hadoop , Hive & Spark framework.
- Good to have experience in SAS.
- Robust Python, PySpark Development and SQL knowledge.
- Certification in big data or cloud technologies is preferred.
Exp: 4 to 6 yrs ( 16 to 18 L MAX including 5% variables) 6 to 10 yrs (23.5 L MAX inculding 5% variables)
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Big data Pyspark Lead/Dev (Hyderabad)
🏢 PSRTEK
📍 Hyderabad
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