Engineer-Data Science
The opportunity
Hitachi Energy is currently looking for a Data Science Engineer for our Transformers of Business to join their team in Global Engineering Center in Vadodara, India. This team seeks a skilled and motivated individual. Transformers BU team leverages innovative and diverse technology to transform energy, delivering social, environmental, and economic value and enabling a sustainable energy future for current and future generations. The business's comprehensive portfolio includes power transformers, traction transformers, insulation and components, digital sensors, and transformer services.
How you'll make an impact
- Data Science Engineer focuses on developing and creating Business intelligence reports, Automation of workflow using Power Apps in coordination with the global Hitachi Energy factory based on requirements.
- Responsible for building visualizations in PBI based on various sources and datasets of power transformers factories
- Responsible for DAX queries / DAX functions / Power Query Editor
- Responsible for development of transformer dashboard in coordination with global Hitachi Energy factory based on requirement.
- Expertise in using advance level calculations on the data set.
- Able to develop tabular and multidimensional models that are compatible with warehouse standards.
- Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Familiar with Row Level Security (RLS)
- Basic knowledge and skills for secondary tools such as Microsoft Azure, SQL data warehouse, SSAS, Visual Studio, Power Apps etc. Experienced in connecting different data sources in 1 Power BI.
- Adept in developing, publishing and scheduling Power BI reports as per the business requirements.
- 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.
- Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Your background
- Bachelor's degree of Electrical or Mechanical or Data Science Engineering.
- 4- 8 years' experience working in Data Analytics from start to end process. Candidates with higher experience also to be considered.
- Experience of manufacturing industry is an additional advantage.
- Extended MS Office knowledge & skills, especially excel but also e.g. PowerPoint, etc.
- Experience with SAP / S4 HANA -Data handling Preferred.
- Adept in developing, publishing and scheduling Power BI reports as per the business requirements.
- Expertise in using advanced level calculations on the data set.
- Able to develop tabular and multidimensional models that are compatible with warehouse standards.
- Able to properly understand the business requirements and develop data models accordingly by taking care of the resources. Familiar with Row Level Security (RLS).
- Basic knowledge and skills for secondary tools such as Microsoft Azure, SQL data warehouse, SSAS, Visual Studio, Power Apps etc.
- Demonstrated team building and networking skills would be a preference. DA-100 certification preferred.
Apply now
Current employees apply here
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Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA With Employer Contribution
- Pet Insurance
- Mental Health Benefits
- Virtual Fitness Classes
- On-Site Gym
Parental Benefits
- Fertility Benefits
- Family Support Resources
- Birth Parent or Maternity Leave
- Adoption Assistance Program
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Snacks
- Some Meals Provided
- Company Outings
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Summer Fridays
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Access to Online Courses
- Lunch and Learns
- Work Visa Sponsorship
- Leadership Training Program
- Internship Program
- Associate or Rotational Training Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
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