Design Scalable Data Processing Systems
We are seeking an experienced Data Engineer to design and implement scalable data processing systems using AWS services.
The ideal candidate will work closely with cross-functional teams to understand business requirements, prioritize tasks, and deliver high-quality solutions within defined timelines.
Key Responsibilities:
* Design and implement data processing systems using AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB.
* Collaborate with cross-functional teams to understand business requirements and deliver high-quality solutions.
Required Skills and Qualifications:
* Hands-on experience with data integration and ETL tools, such as AWS Glue or Apache Spark, for transforming and processing data.
* Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas.
* Experience with data visualization tools, such as Tableau or Power BI, and the ability to collaborate with analysts and data scientists to deliver actionable insights.
Benefits:
* Opportunity to work on challenging projects and contribute to the growth of our organization.
* A collaborative and dynamic work environment that fosters innovation and creativity.