Senior Data Engineer

As a Senior Data Engineer, you’ll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation. You’ll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake, data processing, and data pipeline design to help them achieve their business goals.  You will work closely with your team, including analysts, dashboard developers, and technical project managers, to design solutions and work together to deliver a world-class solution. You’ll strike a balance of technical skills and business acumen to help clients better understand their core needs and what is possible for a future state.

What you’ll do:

• Design, develop, and harden cloud ELT and data pipelines.
• Develop CI/CD pipelines and other DataOps fundamentals.
• Perform data analysis and write effective data quality tests.
• Communicate at the appropriate level to both business and technology teams to understand business needs and pain points.
• Be creative in meeting the client’s core needs with their technology.
• Explain technical benefits and deficits to non-technical audiences.
• Learn new data tools and best practices.

Qualifications required:

• 5 – 10 years of data engineering experience using Python and SQL.
• Strong experience designing and developing ETL and data pipelines.
• Experience working with AWS Glue and Lake Formation.
• Experience with IAM permissions.
• Experience conducting data analysis and writing data quality tests.
• Excellent written and verbal English communication skills.
• Ability to work independently.

Preferred Qualifications:

• Familiarity with DBT (Data Build Tools) is highly preferred.
• AWS certification.
• Consulting experience.
• Experience in the utilities and/or meteorology industries.