Data Engineer – AWS | PySpark | SQL | AWS Certified | Remote (contract)

Data Engineer – AWS PySpark SQL

Experience: 5+ Years
Salary: ₹60,000 – ₹70,000 per month
Work Mode: Remote
Job Type: Contract
Location: Remote – India

Job Overview

We are looking for an experienced Data Engineer with strong expertise in AWS, Python, SQL, and PySpark to design, build, and maintain scalable data pipelines and data products.

The ideal candidate should have hands-on experience with modern AWS data engineering services and be comfortable working with large-scale data processing, data quality, ingestion, modelling, and analytics-ready datasets.

AWS Certification is mandatory. Candidates must hold a valid AWS certification obtained through the official AWS platform.

Key Responsibilities

• Design and build raw, standardized, and curated data pipelines that reliably scale with growing data volumes.
• Create reusable and well-documented data products for ASIN, SKU, product, brand, category, inventory, search, media, and vendor performance.
• Implement robust data quality, reconciliation, and freshness checks to identify issues before data reaches downstream consumers.
• Support ASIN/SKU/product identity mapping and source crosswalks to unify data across multiple systems.
• Prepare and structure data for analytics, dashboards, feature engineering, and machine learning model consumption.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and develop scalable engineering solutions.
• Monitor pipeline health, troubleshoot production issues, and continuously improve pipeline reliability and performance.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong proficiency in SQL, Python, and PySpark.
• Hands-on experience with AWS data services:
• Amazon S3
• AWS Glue
• Amazon Athena
• AWS Lake Formation
• AWS Step Functions
• AWS Lambda
• Strong understanding of data modelling and large-scale data processing.
• Experience with data quality, reconciliation, partitioning strategies, metadata management, and data lineage.
• Experience with API-based and batch data ingestion.
• Good understanding of building scalable and production-ready data pipelines.

Preferred Skills

• Experience with Snowflake or Databricks.
• Experience working with commerce, retail, media, or CPG datasets.
• Knowledge of modern data quality and governance frameworks.
• Experience with large-scale analytical datasets and downstream data consumption.

Mandatory Requirement

AWS Certification is mandatory.

Candidates must have completed an AWS certification through the official AWS platform, such as:

• AWS Certified Data Engineer
• AWS Certified Solutions Architect
• Other relevant AWS certifications

Please mention your AWS certification and certification status in your application.

What We Offer

• Remote work
• ₹60,000 – ₹70,000 per month
• Opportunity to work on large-scale AWS data engineering and analytics projects
• Collaborative and technically challenging environment

Only candidates meeting the 5+ years experience requirement and mandatory AWS certification requirement will be considered.

Pay: ₹60,000.00 - ₹70,000.00 per month

Work Location: Remote