Aws Data Engineer

Viraaj HR Solutions Private Limited

0 years

8 - 30 Lacs

indore madhya pradesh india

Posted:2 days ago| Platform:

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Skills Required

aws data analytics etl finance saas ml design pyspark apache spark orchestration airflow automate code terraform monitoring logging metrics pipeline reliability drive tuning storage query redshift development sql containerization docker kubernetes governance management cataloging engineering leadership automation

Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

We operate in the Cloud Data & Analytics sector, designing and delivering AWS-native data platforms, ETL/ELT pipelines, and analytics solutions for enterprise clients across finance, retail, and SaaS industries. This role focuses on building scalable, secure data infrastructure on AWS to enable real-time insights and downstream BI/ML consumption.Location: India (On-site). We are hiring an experienced AWS Data Engineer to own data platform components and operationalize production data workflows.Role & Responsibilities

Design, implement, and maintain AWS-native data pipelines (ingest, transform, catalog) using services such as AWS Glue, Lambda, S3, and Redshift.
Develop and optimize PySpark/Apache Spark jobs for batch and streaming ETL to meet SLAs and cost targets.
Build and maintain orchestration workflows with Apache Airflow; automate deployments using CI/CD and Infrastructure as Code (Terraform/CloudFormation).
Implement data quality, monitoring, and observability (logging, metrics, alerts) to ensure pipeline reliability and fast incident resolution.
Collaborate with Data Scientists, BI teams, and product stakeholders to translate data requirements into robust, production-ready pipelines.
Drive performance tuning and cost optimisation for storage, compute, and query workloads across S3, Redshift, and EMR.

Skills & Qualifications

Must-Have

Proven experience building production ETL/ELT pipelines on AWS using AWS Glue and Amazon S3.
Hands-on development with Apache Spark and PySpark for large-scale data processing.
Strong SQL proficiency and experience with Amazon Redshift or similar MPP data warehouses.
Operational knowledge of Apache Airflow for orchestration and AWS Lambda for event-driven tasks.
Experience with Infrastructure as Code and CI/CD for data platforms (Terraform or CloudFormation).
Solid understanding of data modelling, partitioning, and query performance tuning for cloud data lakes and warehouses.

Preferred

Experience with AWS EMR, Athena, Glue Catalog, or Lake Formation.
Familiarity with containerization and orchestration (Docker, Kubernetes) for data workloads.
Exposure to data governance, metadata management, or cataloging tools.

Benefits & Culture Highlights

Work on end-to-end AWS data platform projects with cross-functional engineering and analytics teams.
Opportunity for technical leadership and ownership of production data systems.
Fast-paced, delivery-focused environment that prioritises reliability, automation, and measurable business outcomes.

How to Apply: This is an on-site role based in India. If you are a hands-on AWS Data Engineer who thrives in building scalable data platforms and delivering measurable analytics outcomes, we encourage you to apply.
Skills: amazon redshift,aws lambda,apache spark,terraform,aws

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Aws Data Engineer