- We are looking for a skilled PySpark Developer to join our data engineering team
- The ideal candidate should have strong experience in big data processing, distributed computing, and building scalable data pipelines using PySpark

Key Responsibilities:

- Develop and optimize data pipelines using PySpark
- Work with large datasets in distributed environments
- Design, build, and maintain ETL processes
- Collaborate with data analysts and data scientists for data requirements
- Ensure data quality, integrity, and performance tuning
- Work on Hadoop ecosystem tools and cloud platforms if required

Required Skills:

- Strong experience in PySpark and Python
- Hands-on with Spark SQL, DataFrames, RDDs
- Good knowledge of Hadoop ecosystem (HDFS, Hive, etc)




- Experience in ETL development and data processing
- Understanding of big data architecture and distributed systems

Valuable to Have:

- Experience with AWS / Azure / GCP
- Knowledge of Kafka or streaming tools
- Familiarity with data warehousing concepts

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.

📌 PySpark Developer (Bengaluru)
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📍 Bengaluru