Job highlights

- The ideal candidate should have robust experience in big data processing,distributed computing,and building scalable data pipelines using PySpark
- Required Skills: . Robust experience in PySpark and Python . Hands-on with Spark SQL,DataFrames,RDDs . Good knowledge of Hadoop ecosystem (HDFS,Hive,etc) .
- Good to Have: .
- Experience with AWS / Azure / GCP .
- 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
- Positive knowledge of Hadoop ecosystem (HDFS, Hive, etc)
- Experience in ETL development and data processing
- Understanding of big data architecture and distributed systems

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

📌 PySpark Developer (Hyderabad)
🏢 Mobile Programming
📍 Hyderabad