Exp: 6+ years

Work Mode: Hybrid (3 days work from office) or Remote can also be provided.

Key Responsibilities

- Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
- Implement data ETL processes for batch and streaming analytics requirements.
- Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
- Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
- Ensure data security, integrity, and compliance throughout the infrastructure.
- Maintain documentation and contribute to architecture reviews.
- Participate in incident response and operational excellence initiatives for the data warehouse.
- Continuously learn mindset and apply new Hadoop ecosystem tools and data technologies.

Required Skills and Experience





- Proficiency in Hadoop ecosystems such as Spark, HDFS, Hive, Iceberg, Spark SQL.
- Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies.
- Proven ability to design and implement automated data pipelines and materialized views.
- Proficiency in Python, Unix or similar languages.
- Valuable understanding of SQL oracle, SQL server or similar languages.
- Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions).
- Core Engineering: Data structures/algorithms, testing (JUnit/pytest), Git, clean code.
- 5+ years of directly applicable experience
- BS in Computer Science, Engineering, or equivalent experience.

📌 Data Engineer (Bengaluru)
🏢 ACL Digital
📍 Bengaluru