Data Engineer

Hitachi Energy

Chennai, India

#JID3-166874

Position summary

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.

  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

  • 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:

  • Bachelor's degree 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.

  • Basic understanding of Machine Learning algorithms. AI/ML can automate and improve data processing tasks, making them more efficient and accurate.

  • Integrating AI/ML can help in building predictive models that can forecast trends and outcomes, providing valuable insights for decision-making. AI/ML can be used to create personalized experiences for users by analyzing their behavior and preferences.

  • 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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