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Must-Have Skills
- 6+ years of overall experience in Data Engineering / Big Data.
- Strong understanding of Big Data concepts and architecture.
- Strong hands-on experience with Apache Spark.
- Expertise in:
- Spark Performance Tuning
- Spark Optimization
- Query/Job Performance Improvement
- Troubleshooting Spark workloads
- Strong hands-on experience with PySpark and Spark.
- Strong programming experience in Python.
- Good experience working with MySQL / SQL.
- Strong experience in designing and developing Data Pipelines.
- Hands-on experience with Apache Airflow for data pipeline orchestration and scheduling.
- Experience working with at least one Cloud Platform.
- GCP experience is preferred.
- Good understanding of CI/CD and DevOps concepts.
- Experience integrating data engineering workloads with CI/CD pipelines.
- Robust debugging, troubleshooting,



and problem-solving skills.

Preferred Skills
- Hands-on exposure to relevant GCP data services.
- Experience handling large-scale and high-volume datasets.
- Understanding of distributed data processing and data architecture.
- Experience improving the scalability, reliability, and performance of data pipelines.
- Exposure to Agile development and DevOps practices.

Key Responsibilities
- Design, develop, and maintain scalable Big Data and Data Engineering solutions.
- Develop data processing applications using Python, PySpark, and Apache Spark.
- Perform Spark performance tuning and optimization for large-scale workloads.
- Build, maintain, and monitor robust ETL/ELT data pipelines.
- Develop and manage workflow orchestration using Apache Airflow.
- Work with MySQL/SQL for data extraction, transformation, and validation.
- Deploy and support data engineering solutions in cloud environments, preferably GCP.
- Wor

📌 Lead Data Pipeline Developer (Bengaluru)
🏢 UST
📍 Bengaluru