Sargent & Lundy is looking to enhance its data infrastructure and support analytics initiatives by adopting advanced technologies and sustainable practices in the power and energy sectors.
Requirements
- Basic proficiency in SQL for querying databases and manipulating data.
- Familiarity with ETL tools and processes
- Experience with cloud platforms, such as AWS, Azure, or Google Cloud, for data storage and processing.
- Familiarity with Python or another programming language used for data manipulation and scripting.
- At least 2 years of experience in a data engineering or similar role, including internships or co-op programs.
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- Strong attention to detail with a proactive approach to problem-solving.
Responsibilities
- Assist in the design, development, and maintenance of scalable data pipelines and ETL processes to ensure data accuracy and reliability across various internal systems and support analytics initiatives.
- Help integrate and manage various data sources, including cloud-based data platforms (AWS, Azure, Google Cloud).
- Participate in data architecture discussions to improve data reliability and scalability, working with data engineers to enhance infrastructure.
- Maintain thorough documentation of data engineering processes and workflows to ensure consistency and ease of knowledge transfer within the team.
- Lead post-mortems on data-related incidents, helping the team learn from past challenges and refine processes to prevent future issues.
- Leverage robotic process automation (RPA) and workflow automation tools to streamline repetitive operational tasks including reporting, data file transfers, compliance checks, and report generation
- Develop monitoring and automated alerting solutions for data pipeline failures, data drift, and data quality issues, enabling proactive resolution and maintaining high data reliability.
Other
- Ability to work collaboratively with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
- A willingness to learn and adapt to new technologies and methodologies in data engineering.
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- At least 2 years of experience in a data engineering or similar role, including internships or co-op programs.
- We do not sponsor employees for work authorization in the U.S. for this position.
