Data Engineer

Job Description

As a Data Engineer joining Advanced Analytics practice, 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'll 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'll 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.

Requirements

• 3-5 years of cloud data engineering experience.
• Experience designing and developing cloud ELT and data pipelines with Python and SQL.
• Experience working with AWS (Redshift, Glue, S3, Lambda) and / or Azure (Azure Data Factory, Azure Synapse, and Azure DevOps).
• Excellent written and verbal English communication skills.
• Ability to operate on Pacific Standard Time.
• Experience with DBT is highly preferred.

Benefits

Requirements

3-5 years of cloud data engineering experience. Experience designing and developing cloud ELT and data pipelines with Python and SQL. Experience working with AWS (Redshift, Glue, S3, Lambda) and / or Azure (Azure Data Factory, Azure Synapse, and Azure DevOps). Excellent written and verbal English communication skills. Ability to operate on Pacific Standard Time. Experience with DBT is highly preferred.