Data Engineer

Energize your Career at SECO Energy! General Purpose of Job Data Engineer role is responsible for design, build, test, deployment, and support of enterprise data pipelines (CI/CD), lakehouse tables, transformation frameworks, change data capture (CDC), metadata controls, data quality processes, and governed data products. This role is responsible for implementing reliable data movement and transformation patterns across modern cloud data platforms, including Microsoft Fabric, Azure data services, Databricks, Snowflake, or comparable lakehouse and warehouse technologies. The Data Engineer should be able to transform data using PySpark, Spark SQL, Python, SQL, and deep understanding of related frameworks, and deep understanding of related frameworks The role requires practical understanding of medallion architecture, Delta / open table formats, data catalogs, data products, dimensional modeling, metadata management, master data management, governance, security, data mesh, domain-driven design, DevOps, observability, and operational support. The position supports the full lifecycle of data products: ingestion, raw/bronze landing, source registration, technical staging, silver conformance, gold semantic publishing, metadata capture, quality validation, promotion, monitoring, and support. The engineer partners with analysts, architects, business SMEs, data stewards, security teams, and platform administrators to deliver data products that are trusted, documented, secure, reusable, and performant. Minimum Required Qualifications and Competencies The following includes the minimum job requirements and essential duties for this position. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. Some job requirements may exclude individuals that cannot be reasonably accommodated or who pose a direct threat or significant risk to the health and safety of themselves or other employees.