(Apply Now) Data Engineer

6 days ago

Chennai India CG-VAK Software & Exports Ltd. Full time

Job Description Industry & Sector A technology services & software exports company operating in the Enterprise Data Engineering and Big Data Analytics sector. We build scalable data platforms, real-time streaming pipelines, and ETL systems that power analytics and data products for global enterprise customers. Primary Title (best-performing standardized title): Senior Data Engineer (Scala) Location & Workplace: India On-site About The Opportunity We are hiring a hands-on Data Engineer with deep Scala expertise to design, build, and operate high-throughput batch and streaming data pipelines. The role focuses on implementing production-quality Spark jobs, integrating Kafka-based event streams, and ensuring data reliability across the analytics lifecycle. This is an on-site role in India with ownership of end-to-end data solutions for mission-critical workloads. Role & Responsibilities - Design, develop, and maintain scalable data pipelines using Scala and Apache Spark for batch and streaming workloads. - Implement Kafka-based ingestion, process streams with structured streaming, and ensure exactly-once or at-least-once guarantees as required. - Author efficient Spark SQL transformations and optimize job performance and resource utilization on cluster platforms. - Build robust ETL workflows, handle schema evolution, and implement data quality checks and monitoring. - Collaborate with data consumers, data scientists, and platform teams to translate requirements into reliable data products and APIs. - Participate in CI/CD for data pipelines, troubleshoot production incidents, and create runbooks to improve operational maturity. Skills & Qualifications Must-Have - Scala - Apache Spark - Spark SQL - Apache Kafka - Hadoop HDFS - SQL - ETL - AWS S3 Preferred - Databricks - Apache Airflow - Delta Lake Benefits & Culture Highlights - Fast-paced engineering culture with ownership of end-to-end data products. - Opportunities to work on large-scale streaming and analytics for enterprise clients. - Structured career growth and technical mentorship within the data engineering practice. To apply, please highlight your Scala + Spark project experience, examples of Kafka or streaming implementations, and any performance optimization or production debugging you have led. Skills: sql,scala,apache,apache kafka,etl,spark,apache spark,kafka

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