AWS Data Engineer

5 hours ago

Noida, Uttar Pradesh, India CG-VAK Software & Exports Ltd. Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Industry & Sector
Enterprise Cloud & Data Engineering services focused on building scalable data platforms, data lakes and analytics pipelines for B2B customers across FinTech, Retail, and SaaS. We deliver secure, production-grade cloud data solutions on AWS to enable real-time analytics, BI, and ML use-cases.

Primary Title:
AWS Data Engineer (On-site, India)

Role & Responsibilities

  • Design and implement scalable ETL/ELT data pipelines on AWS for batch and streaming workloads using S3, Redshift, Glue, and Spark.
  • Develop PySpark jobs and Python services to transform, validate, and aggregate large datasets, ensuring data quality and lineage.
  • Build and maintain data warehouse schemas, partitioning strategies, and performance optimizations for Redshift and data lake queries.
  • Automate deployments and infrastructure using Terraform and CI/CD pipelines; manage IaC for reproducible environments.
  • Instrument observability—logging, metrics, and alerts—for ETL workflows; troubleshoot production incidents and optimize throughput and cost.
  • Collaborate with data scientists, analysts, and product teams to translate business requirements into reliable data models and APIs.

Skills & Qualifications
Must-Have

  • AWS, Python / PySpark : Min 4+ yrs of experience
  • Experience in RDD and Map functions in PySpark
  • AWS services – Glue, Lambda, Redshift, Step functions, Cloud formation / CFT
  • Good to have
  • Lake formation / LFT

Enterprise platform experience

Preferred

  • Apache Airflow
  • AWS Lambda
  • AWS Certified DataAnalytics-Specialty

Benefits & Culture Highlights

  • Hands-on ownership of end-to-end data platform projects and opportunity to influence architecture decisions.
  • Collaborative, engineering-first culture with focus on automation, observability, and continuous improvement.
  • On-site role in India offering close collaboration with cross-functional teams and rapid career growth.

Location & Workplace:
On-site, India. This role requires on-premise presence for close team collaboration and delivery.

Skills: amazon redshift,data engineer,aws,terraform,apache spark,etl,sql,python,aws lambda,cloud

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