Scala Data Engineer
4 days ago
We are looking for a highly skilled Scala Data Engineer to design, build, and optimize large-scale data platforms. The ideal candidate will have deep expertise in Scala, Spark, and SQL, with proven experience delivering scalable and high-performance data solutions in cloud-native environments.
Key Responsibilities
Design, build, and optimize scalable data pipelines using Apache Spark and Scala.
Develop real-time streaming pipelines leveraging Kafka/Event Hubs.
Own the design and architecture of data systems with a strong focus on performance, scalability, and reliability.
Collaborate with cross-functional teams to deliver high-quality data products.
Mentor junior engineers and enforce best practices in coding, testing, and data engineering standards.
Implement and maintain data governance and lineage practices.
Mandatory Skills
Strong programming expertise in Scala (preferred over Java).
Advanced proficiency in SQL and Apache Spark.
Strong understanding of Data Structures & Algorithms.
Hands-on experience in data engineering for large-scale systems.
Exposure to cloud-native environments (Azure preferred).
Preferred Skills
Big Data Ecosystem: Hadoop, Kafka, Structured Streaming/Event Hub.
CI/CD tools: Git, Docker, Jenkins.
Experience with Medallion Architecture, Parquet, Apache Iceberg.
Orchestration tools: Airflow, Oozie.
Familiarity with NoSQL DBs (Cassandra, MongoDB, etc.).
Experience with Data Governance tools: Alation, Collibra, Lineage, Metadata management.
Location-Bangalore Hybrid (3 days WFO/week)
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