CG-VAK Software & Exports Ltd. logo

Data Engineer - Scala expertise

0 years

0 Lacs

chennai tamil nadu india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

data scala technology software engineering analytics etl power design spark kafka reliability apache sql checks hadoop aws optimization debugging

Work Mode

On-site

Job Type

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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