About the Role :

We are looking for an experienced Data Engineer to join our growing engineering team in Bangalore. The ideal candidate will have strong expertise in building scalable data pipelines, optimizing data platforms, and working with contemporary cloud-based data ecosystems. This role requires a collaborative mindset to work closely with Product, Data Science, and Engineering teams to deliver reliable and efficient data solutions.

Key Responsibilities :

- Design and maintain scalable data pipelines.
- Build ETL/ELT workflows using DBT and Apache Airflow.
- Develop efficient SQL queries.
- Work with Spark or Flink.
- Build data models and ensure data quality.
- Collaborate with Product Managers, Data Scientists, and Engineers.
- Optimize database performance.
- Deploy workloads on Kubernetes or YARN.
- Follow CI/CD, monitoring, testing, and documentation best practices.

Mandatory Skills :

- 5 years of Data Engineering experience.




- Strong DBT, SQL, Apache Airflow, Apache Iceberg.
- Python (preferred), Rust, Java, or Scala.
- Relational & NoSQL databases.
- ETL/ELT and Data Warehousing.

Preferred Skills :

- Spark/Flink.
- Kubernetes/YARN.
- Parquet, ORC, Iceberg.
- AWS : S3, Athena, MWAA, EKS, ElastiCache, SageMaker.
- Data Lake architecture.
- CI/CD and DevOps.

Educational Qualification :

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.

What We're Looking For :

- Strong analytical and problem-solving skills.
- Product mindset.
- Excellent communication and stakeholder management.
- Ability to work in Agile teams.
- Passion for building reliable, scalable, and high-quality data platforms.

📌 Moolya - Data Engineer (India)
🏢 Moolya Software Testing
📍 India