What are the responsibilities and job description for the Data Engineer - AWS position at Jobs via Dice?
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We are seeking a highly skilled Data Engineer to join our agile team and help develop the next generation of cloud-based data solutions. If you are passionate about data engineering, cloud architecture, software development, and analytics, with hands-on experience in data warehousing, data integration, API development, and modern analytics, we d love to talk to you!
Our modern data platform includes a cloud data lake, cloud data warehouse, advanced analytics, and data governance capabilities. The ideal candidate will have proven experience with Snowflake and AWS services to design and deliver scalable, secure, and high-performing data environments.
Key Responsibilities:
We are seeking a highly skilled Data Engineer to join our agile team and help develop the next generation of cloud-based data solutions. If you are passionate about data engineering, cloud architecture, software development, and analytics, with hands-on experience in data warehousing, data integration, API development, and modern analytics, we d love to talk to you!
Our modern data platform includes a cloud data lake, cloud data warehouse, advanced analytics, and data governance capabilities. The ideal candidate will have proven experience with Snowflake and AWS services to design and deliver scalable, secure, and high-performing data environments.
Key Responsibilities:
- Develop and maintain data lakes, data warehouses, and data ingestion pipelines.
- Design and implement API development, data cleansing, and data transformation processes.
- Build and automate DevSecOps pipelines for continuous integration and deployment.
- Work closely with stakeholders to design and implement end-to-end data solutions.
- Support advanced analytics and ML Ops initiatives within the cloud environment.
- Ensure compliance with data governance, performance, and security standards.
- Mentor junior developers and contribute to technical design decisions.
- Troubleshoot and debug complex production incidents efficiently.
- Bachelor s degree in Information Technology or related field.
- 5 years of experience in data engineering within analytics-focused environments (preferably Snowflake).
- 3 years of experience with AWS services (Amazon S3, AWS Glue, AWS Lambda, etc.).
- Advanced proficiency in SQL and Python.
- Strong experience in database development, ETL, and data pipeline design.
- Hands-on with modern data processing technologies (Qlik, AWS Glue, Lambda, Python).
- Experience in Agile delivery environments.
- Proven ability to design and enforce development standards and best practices.
- Excellent problem-solving skills and ability to manage multiple complex projects.
- Passionate about continuous learning and staying current with cloud, data, and open-source technologies.
