Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Industry & Sector:

Hiring for a technology services firm focused on Cloud Data Engineering and analytics delivery for enterprise customers. The role supports large-scale data ingestion, transformation, and analytics workloads on AWS for clients across finance, retail, and SaaS domains. On-site role located in India.

Primary Job Title:

AWS Data Engineer (On-site, India)Role & Responsibilities
  • Design, build and operate scalable ETL/ELT pipelines on AWS to ingest, transform, and deliver analytical datasets for reporting and ML use-cases.
  • Author and optimise Spark-based jobs (PySpark) and AWS Glue ETL to process large, structured and semi-structured data with reliable performance and cost control.
  • Implement and maintain data storage and query architectures using S3, Redshift, and query services (e.g., Athena) to meet SLAs for latency and concurrency.
  • Collaborate with data architects and analysts to translate business requirements into data models, partitioning strategies, and lifecycle policies.
  • Build observability and automation: CI/CD for data pipelines, automated deployments, monitoring, alerting, and cost-optimisation practices.
  • Perform data validation, troubleshooting, and performance tuning; document designs, runbooks, and best-practice playbooks.

Skills & Qualifications

Must-Have

  • AWS S3
  • AWS Glue
  • Amazon Redshift
  • Apache Spark
  • Python
  • SQL

Preferred

  • Terraform
  • Apache Airflow
  • AWS Kinesis
Benefits & Culture Highlights
  • Hands-on ownership of end-to-end data products and opportunity to work on enterprise-scale AWS migrations and optimisation projects.
  • Fast-paced, delivery-focused engineering culture with mentorship and opportunities to upskill on modern cloud data stacks.
  • On-site collaboration with cross-functional teams—ideal for engineers who prefer high-touch stakeholder engagement.

Location & Workplace:

India — On-site. If you are a results-driven AWS Data Engineer who excels at building reliable cloud data platforms and enjoys working in a delivery-focused environment, apply to be part of a high-impact data engineering team.Skills: aws data engineer,data engineering,amazon redshift,sql,python,aws,pyspark,apache spark

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