Business Information:

The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision and commissioning. However, over the last decade, it has evolved to become the largest engineering hub. The India Operations Centre is a key aspect of the Power Grids business Power Up transformation program. The INOPC team at Chennai supports Hitachi Energy's units in more than 40 countries across a wide portfolio of all the four business units in Power Grid business. To date, the team has executed engineering and commissioning for projects in more than 80 countries.

Mission Statement:

• Display technical expertise in AI data analytics focusing to 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 the 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 of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

• BE / BS 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 of lakehouse architecture, data integration framework, ETL/ELT pipeline, orchestration/monitoring, star schema data modeling.
• 5 years of experience with Python/PySpark and SQL
• 2 years of experience in Microsoft Power BI,
• 3 years of experience in utilizing Azure-based environment such as Databricks, ADLS, and Azure Machine Learning for data engineering purposes.
• Basic understanding of Machine Learning algorithms
• Ability to quickly grasp concepts from a field that is not one's core competency; A fast learning generalist capable of solving problem independently and resourceful in matrixed corporate environment.
• Proficiency in both spoken & written English language is required.