
Big Data Engineer
11 hours ago
Key Responsibilities
- Build and manage highly scalable Big Data pipelines for large structured datasets.
- Collaborate with Product Management & Engineering leadership to design and implement optimal solutions.
- Participate in design discussions and contribute to selecting, integrating, and maintaining Big Data frameworks.
- Develop distributed data processing systems using Spark, Akka, or similar frameworks.
- Review, optimize, and enhance existing data pipelines to resolve bottlenecks.
- Act as a Senior Individual Contributor by taking ownership of features/modules.
- Troubleshoot production issues and ensure seamless data flow.
- Work with US & India engineering teams to build and scale Java/Scala-based data pipelines.
- Lead technical excellence in the India engineering team and ensure delivery quality.
- Follow Agile practices and use tools such as JIRA, Git, Gradle/Maven/SBT for development & issue tracking.
Must-Have Skills
- Coding expertise Strong programming & database skills.
- SQL Hands-on experience.
- Scala, PySpark, Cloud (AWS/Azure).
- Data Lake, Snowflake.
- Proven experience in building products from scratch.
- Strong background in Java or Scala, OOP, data structures, algorithms, profiling, and optimization.
- Experience with ETL/Data pipeline tools (Apache NiFi, Airflow, etc.).
- Hands-on with version control (Git) and build tools (Gradle, Maven, SBT).
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