AWS Data Engineer

2 days ago

hyderabad, India viraaj hr solutions Full time

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 & ResponsibilitiesDesign, 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 & QualificationsMust-HaveAWS S3AWS GlueAmazon RedshiftApache SparkPythonSQLPreferredTerraformApache AirflowAWS KinesisBenefits & Culture HighlightsHands-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.

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