We are looking for a Data Engineer with strong experience in Java, Apache Spark, Apache Airflow, and GCP to design and build scalable, cloud-native data pipelines.

Key Responsibilities & Skills:

- Develop and optimize distributed data processing pipelines using Java-based Apache Spark .
- Design and maintain Apache Airflow DAGs for data pipeline orchestration and scheduling.
- Work with GCP services including BigQuery and Cloud Storage to build scalable data solutions.
- Write and optimize complex SQL queries for data transformation and analysis.
- Apply data engineering best practices around pipeline reliability, scalability, monitoring, and performance .
- Collaborate with engineering and analytics teams to deliver high-quality data solutions.

Must-Have Skills:

- Strong hands-on experience with Java + Apache Spark .
- Proficiency in Apache Airflow / DAG authoring .
- Experience with GCP – BigQuery and Cloud Storage .
- Solid SQL fundamentals.
- Good understanding of data pipeline orchestration and cloud-native data engineering .

Preferred Experience: Experience with large-scale data processing, performance optimization, and production-grade data pipelines.

📌 Data Engineer - Java +Spark | Immediate Joiner | Pan India Hiring (Bengaluru)
🏢 UST
📍 Bengaluru