Data Engineer

Location: Chennai, Tamil Nadu, India Job ID: R0124753 Date Posted: 2026-07-01 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): Engineering & Science Job Schedule:  Full time Remote: No Job Description: Your Responsibilities: Display technical expertise in data analytics focusing on a team of diversified technical competencies. Build and maintain accurate and scalable data pipeline and infrastructure such as SQL Warehouse, Data Lakes, etc. using Cloud platforms (e.g.: MS Azure, Databricks). Proactively work with business stakeholders to understand data lineage, definitions, and methods of data extraction. Write production-grade SQL and PySpark code to create data architecture. Consolidate SQL databases from multiple sources, data cleaning, and manipulation in preparation for analytics and machine learning. Use data visualization tools such as Power BI to create professional quality dashboards and reports. Write good quality documentation for data processing for different projects to ensure reproducibility. Living Hitachi Energy’s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: BE / B.Tech in Computer Science, Data Science, or related discipline and at least 5 years of related working experience. 5 years of data engineering experience, with understanding lake house architecture, data integration framework, ETL/ELT pipeline, orchestration/monitoring, star schema data modeling. 5 years of experience with Python/PySpark and SQL(Proficient in PySpark, Python, and Spark SQL) 2-3 years of hands-on data engineering experience using Databricks as the main tool (meaning >60% of their time is using Databricks instead of just occasionally). 2-3 years of hands-on experience with different Databricks components (DLT, workflow, Unity catalog, SQL warehouse, CI/CD) in addition to using notebooks.

Experience in Microsoft Power BI. Additional Insights: Basic understanding of Machine Learning algorithms. Enhanced Data Processing : AI/ML can automate and improve data processing tasks, making them more efficient and accurate. Predictive Analytics : Integrating AI/ML can help in building predictive models that can forecast trends and outcomes, providing valuable insights for decision-making. Personalization : AI/ML can be used to create personalized experiences for users by analyzing their behavior and preferences. Automation : AI/ML can automate repetitive tasks, freeing up time for more complex and creative work. Ability to quickly grasp concepts from a field that is not one's core competency; A fast learning generalist capable of solving problems independently and resourceful in a matrixed corporate environment. Proficiency in both spoken & written English language is required.

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