Data Engineer at Qode

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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.