Position Details
About this role
This senior role involves designing and maintaining scalable data pipelines, supporting data modernization, and enabling advanced analytics within the energy sector.
Key Responsibilities
- Design and optimize data pipelines
- Modernize legacy systems with Snowflake
- Develop and maintain stored procedures and data streams
- Support AI and analytics applications
- Lead data architecture and automation efforts
Technical Overview
The technical environment includes Snowflake, SQL Server, Informatica, Python, Streamlit, Cortex AI, and data pipeline tools, emphasizing data architecture, automation, and AI integration.
Ideal Candidate
The ideal candidate is a senior data engineer with over 5 years of experience, proficient in SQL and Python, with extensive hands-on experience in Snowflake, including stored procedures and data pipelines. They should be capable of leading data modernization projects and leveraging advanced analytics tools like Cortex AI and Streamlit.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience in data engineering, Lack of experience with Snowflake or SQL Server, No experience with ETL/ELT patterns
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