Job Description & Scope
Job description We are seeking a Senior Data Engineer to support a high-impact data platform engagement for a leading utility company in the USA. This 5-day on-site contract role offers an excellent growth opportunity for professionals experienced in developing scalable data pipelines and distributed data systems. The ideal candidate brings deep proficiency in Python, SQL, and PySpark, along with proven experience in ETL development, data lakes, and big data frameworks. Key Responsibilities Design, build, and maintain robust and scalable data pipelines for ingesting and transforming large volumes of structured and semi-structured data. Enhance platform automation, orchestration, monitoring, and alerting to improve system reliability and developer efficiency. Implement end-to-end ETL workflows and support data lake architecture and big data processing. Partner with engineering, product, and business teams to deliver high-quality, production-ready datasets and services. Continuously identify and implement improvements for pipeline efficiency, automation, and usability. Support platform users by providing technical assistance and clear documentation. Define and maintain best practices for data quality, observability, and operational excellence. Required Qualifications 4+ years of professional experience in data engineering. Expert-level knowledge of Python, SQL, and PySpark. Solid experience in building data pipelines, ETL development, and working with data lakes and big data frameworks. Demonstrated ability to collaborate with cross-functional teams in a distributed engineering environment. Hands-on experience with version control and CI/CD workflows (Git, GitLab, Bitbucket, etc.). Familiarity with platform monitoring and alerting best practices. Nice to Have Experience with Palantir Foundry or similar enterprise data platforms. Knowledge of cloud-based data architectures and infrastructure-as-code. Why Join Contribute to a critical data transformation effort for a major US utility provider. Work in a fast-paced environment with opportunities for career growth and development. Engage in meaningful, hands-on engineering with modern data infrastructure and tooling. Role: Data Engineer Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Temporary/Contractual Role Category: Data Science & Machine Learning Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkpythonSql Spark
