Data Engineer at Qode. 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.. Company Location: United States.
Data Engineer at Qode