Location:
Chennai, Tamil Nadu, India
Job ID:
R0054000
Date Posted:
2024-06-20
Company Name:
HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED
Profession (Job Category):
Engineering & Science
Job Schedule:
Full time
Remote:
No
Job Description:
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:
As a Data Engineer you will be part of Operation Center, India (INOPC-PG), aiming to develop a global value chain, where key business activities, resources and expertise are shared across geographic boundaries in order to optimize value for Hitachi Energy customers across markets. It provides high quality engineering and commissioning support to Business Units and Center of Excellence across the Hitachi Energy world. This is an important step from Hitachi Energy's Global Foot Print strategy.PG Operation Center Services are System design, Primary side design, Secondary side design, Sourcing, Installation and commissioning.
Your Responsibilities:
-
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.
Your background:
-
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.
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
