Altysys - Data Engineer - Scala

1 week ago

Bengaluru, India Altysys Full time

Job Title : Scala Data EngineerLocation : Bangalore (Whitefield) Hybrid (3 days WFO/week)Experience Range : 8- 15 yearsOpenings : 2Notice Period : Immediate joiners or up to 2 weeks maxJob Type : the Role :We are looking for an experienced Scala Data Engineer to design, build, and optimize large-scale data solutions. This role requires strong expertise in Scala, Apache Spark, and SQL with hands-on experience in data engineering at scale. You will play a critical role in building reliable data systems, ensuring performance, and mentoring junior engineers.Key Responsibilities :- Data Pipelines : Design, develop, and optimize scalable and efficient data pipelines using Scala and Apache Spark.- Streaming Solutions : Build real-time and near-real-time streaming data pipelines with Kafka, Event Hubs, or Spark Structured Streaming.- System Architecture : Own the design, architecture, and performance tuning of large-scale distributed data systems.- Data Integration : Work with cloud-native environments (Azure preferred) and integrate with diverse data sources and formats.- Quality & Governance : Implement data governance practices including lineage, metadata, and compliance (Alation, Collibra).- Collaboration : Partner with product, analytics, and engineering teams to ensure timely and high-quality delivery.- Mentorship : Guide junior engineers, review code, and enforce best practices for clean, maintainable, and scalable Skills :- Strong programming experience in Scala (preferred) or Java.- Hands-on expertise with Apache Spark for big data processing.- Strong skills in SQL, data structures, and algorithms.- Experience working on large-scale, production-grade data engineering systems.- Exposure to cloud-native platforms (Azure preferred; AWS/GCP Skills :- Experience with Hadoop ecosystem and streaming frameworks (Kafka, Event Hubs, Spark Streaming).- Knowledge of Medallion architecture, Parquet, Apache Iceberg.- Hands-on with orchestration tools (Airflow, Oozie).- Familiarity with NoSQL databases.- CI/CD tools such as Git, Docker, Jenkins.- Exposure to data governance tools (Alation, Collibra). (ref:hirist.tech)

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