Lead Data Engineer — Data Lake & Cloud ETL Expert

National Grid; United States; On-site; USD 133,000 - 187,000; Full time

Job summary

National Grid is seeking a senior data engineer to lead the design, development and optimization of data platforms as the utility digitizes its operations. You will drive complex data integration, analytics and pipeline automation across the enterprise.

You will rely on SQL, Python, Spark and Snowflake, with strong ETL and data-lake/data-warehouse concepts, and you’ll partner with cloud teams on GCP/AWS/Azure initiatives to deliver scalable solutions.

Qualifications

• 7 years of SQL skills, Python and Spark, and experience with Snowflake.
• 7 years having experience with data lake/data warehouse concepts and data modeling concepts.
• Previous team leadership experience.
• Familiar with cloud platforms (GCP, AWS, or Azure).
• Must bring strong experience with ETL processes, at least 7 years.

Responsibilities

• Lead perform complex analysis, design, development, testing, and debugging of computer system application software for a large utility company that is digitizing and modernizing the grid.
• Lead architecture conversations and assemble architectural plans and artifacts for projects.
• Apply knowledge of technologies and platforms to convert requirements into business solutions.
• Oversee integration and custom development using industry standard programming languages.

Skills

SQL

Python

Spark

Snowflake

ETL

Data lake concepts

Data modeling

Leadership

Cloud platforms

Job description

National Grid is seeking a senior data engineer to lead the design, development and optimization of data platforms as the utility digitizes its operations. You will drive complex data integration, analytics and pipeline automation across the enterprise.

You will rely on SQL, Python, Spark and Snowflake, with strong ETL and data-lake/data-warehouse concepts, and you’ll partner with cloud teams on GCP/AWS/Azure initiatives to deliver scalable solutions.