Aws Developer

Job Description: AWS Data Engineer

Experience: 6+ years
Location: Chennai, Bangalore, Pune, Mumbai
Employment Type: Full-time

Role Overview

We are seeking a skilled AWS Data Engineer with strong expertise in PySpark, AWS Databricks, Java, and Python. The candidate will design and optimize scalable data processing pipelines that support advanced analytics, reporting, and cloud-native data solutions.

Key Responsibilities

• Design, develop, and optimize data pipelines using PySpark on AWS Databricks.
• Build data ingestion, transformation, aggregation, and ETL workflows.
• Process structured and unstructured data using Spark clusters and cloud platforms.
• Develop reusable, production-grade code using Python and Java.
• Leverage AWS services such as S3 and EC2 for data storage and compute requirements.
• Implement data quality, error handling, auditing, logging, and governance practices.
• Perform PySpark job tuning, platform optimization, and cloud cost management.
• Implement version control, CI/CD, and deployment best practices for data pipelines.
• Collaborate with data scientists, analysts, architects, and cross-functional teams.
• Troubleshoot data processing issues and continuously improve platform performance.

Mandatory Skills

• 6+ years of relevant experience in software or data engineering.
• Strong hands-on experience with PySpark and distributed data processing.
• Practical experience with AWS Databricks.
• Proficiency in Python and Java programming.
• Experience with structured and unstructured data processing.
• Strong understanding of data engineering, ETL, performance tuning, and pipeline automation.
• Knowledge of version control and CI/CD practices.

Preferred Skills

• Strong SQL knowledge for querying, analysis, and troubleshooting.
• Experience with AWS S3 and EC2.
• Understanding of cloud-native data architecture, security, and governance.
• Exposure to BFSI use cases and sensitive financial data.
• Familiarity with big data ecosystems and distributed computing.
• Experience with cloud-native deployment and ETL automation tools.