Candidates ready to join immediately can share their details via email for quick processing.

? CCTC | ECTC | Notice Period | Location Preference [email protected]

Act fast for immediate attention! ⏳?

___________________________________________________________________________________________________

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.
- Positive understanding of CI/CD and DevOps concepts .
- Experience integrating data engineering workloads with CI/CD pipelines.
- Strong 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 .
- Work with DevOps teams to implement and maintain CI/CD pipelines .
- Troubleshoot production issues and optimize data processing performance.
- Collaborate with engineering and business teams to deliver reliable and scalable data solutions.

Primary Skill Combination Big Data + Apache Spark + PySpark + Python + Airflow + SQL/MySQL + Cloud (GCP Preferred) + CI/CD

Mandatory Focus: Strong hands-on Apache Spark performance tuning and optimization experience.

📌 6 + YoE - Data Engineer – Big Data / PySpark - any UST Location - Immediate Joiner (Bengaluru)
🏢 UST
📍 Bengaluru