Kinder Morgan is looking to solve the problem of designing, implementing, and supporting various systems and applications related to the pipeline Integrity Management Program (IMP) for all pipeline business units across its operating footprint.
Requirements
- 3-5 years’ experience working with SQL, Python, or FME in data analytics, data engineering, or similar role
- Experience with ETL and data warehousing of spatial datasets
- Experience with Safe Software’s FME Desktop (Form) and FME Server (Flow)
- Prior experience building and delivering BI solutions
- Familiarity with pipeline linear referencing concepts and data models such as PODS
- 5+ years’ experience designing and implementing system solutions to support business needs
- Prior experience working with pipeline integrity-related datasets
Responsibilities
- Build and maintain reliable data pipelines for data extraction, transformation, and loading (ETL/ELT)
- Integrate data from various sources, including databases, APIs, and external data providers
- Combine data from different formats and structures into a unified data model
- Design data models and schemas to support business requirements
- Data warehousing of a wide variety of pipeline integrity and risk modeling datasets
- Create and maintain data catalog and data lineage documentation to support data discovery and audit
- Conduct data profiling, data cleansing, de-duplication and validation activities
Other
- Bachelor's degree or higher in Computer Science, Management Information Systems, Engineering or a related technical field
- Ability to clearly explain and document processes and data integration architecture
- Strong written and verbal communication skills with staff at various levels of technical knowledge
- Demonstrates excellent analytical, critical thinking, and problem-solving skills
- Ability to self-motivate, set goals, prioritize and meet deadlines
