About this role
The team is seeking an experienced AWS Data Engineer to join their dynamic team. The ideal candidate will play a critical role in developing, maintaining, and optimizing data pipelines, ensuring the integrity and reliability of data processing.
Key Responsibilities:
- Develop, maintain, and optimize data pipelines using SQL, Spark, and Python.
- Integrate and process data using AWS services such as Glue, Athena, and Redshift.
- Perform functional and automated testing of data pipelines to ensure accuracy and reliability.
- Monitor, debug, and perform performance tuning on existing data pipelines.
- Collaborate with teams on data analysis and lakehouse development initiatives.
- Ensure best practices in data engineering, data quality, and data governance.
Required Skills & Qualifications:
- Proficient in SQL, Spark, and Python.
- Extensive experience with AWS services, particularly Glue, Athena, and Redshift.
- Strong understanding of data pipeline architecture and data warehousing concepts.
- Experience with data quality and governance best practices.
- Excellent problem-solving skills and attention to detail.
Experience:
- Minimum of 5-8 years in data engineering or a related field.
What we offer:
- An opportunity to work with cutting-edge technology in a collaborative environment.
- Professional development and growth opportunities.
- A supportive team culture that values innovation and creativity.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.