Job highlights

- Develop and maintain solutions using Python,PySpark,Spark SQL,SQL,Hadoop / Hive,MongoDB,and Apache Spark . . Work with batch and real-time streaming data processing . . Support data modeling,data transformation,and data integration activities. . Analyze large datasets to identify trends,anomalies,data quality issues,and opportunities for improvement.
- Design, develop, maintain, and optimize data pipelines and data processing workflows.
- Develop and maintain solutions using Python, PySpark, Spark SQL, SQL, Hadoop/Hive, MongoDB, and Apache Spark.
- Work with batch and real-time streaming data processing.
- Support data modeling, data transformation, and data integration activities.
- Analyze large datasets to identify trends, anomalies,



data quality issues, and opportunities for improvement.
- Address and resolve defects and performance issues in data pipelines.
- Support architectural changes and modernization initiatives.
- Identify opportunities for automation, performance optimization, and operational efficiency.

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 Engineer (Bengaluru)
🏢 RARR Technologies
📍 Bengaluru