Job Details

Job Summary: We are looking for a skilled Data Engineer with strong hands-on experience in AWS to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have expertise in modern data warehousing, ETL/ELT development, and distributed data processing while ensuring data quality, performance, and security.
Key Responsibilities: · Design, develop, and maintain scalable data pipelines using AWS services. · Build and optimize ETL/ELT workflows for structured and unstructured data. · Implement data lakes and data warehouses on AWS. · Work with large datasets to ensure high performance, reliability, and data integrity. · Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. · Perform data modeling for analytical and operational use cases. · Ensure data quality, governance, and security best practices. · Monitor and troubleshoot data workflows and production issues. · Support CI/CD and automation for data platform deployments.
Required Skills & Experience: · Strong hands-on experience with AWS services such as S3, Glue, Redshift, Lambda, EMR, Athena, and RDS. · Proficiency in Python and SQL for data processing and analysis. · Experience in building and optimizing ETL/ELT pipelines. · Solid understanding of data warehousing and data lake architecture. · Experience with Apache Spark / PySpark. · Knowledge of workflow orchestration tools (Airflow or similar). · Familiarity with streaming frameworks (Kinesis/Kafka) is a plus. · Experience with data modeling and performance tuning. · Understanding of DevOps, CI/CD, and infrastructure as code (Terraform/CloudFormation). · Experience working in Agile/Scrum environments.
Good to Have: · Experience with Snowflake on AWS. · Exposure to real-time data processing. · AWS certification (e.g., AWS Certified Data Analytics / Solutions Architect).
Soft Skills: · Strong problem-solving and analytical skills. · Excellent communication and stakeholder management. · Ability to work in a fast-paced, collaborative environment.