Teqo By Mahindra : Data Engineer

Brief Description of position:

Designation

Data Engineer

Department

Software

Location

Bangalore

Grade

M7/M6A

Reporting to

Lead Data Scientist

Company Description

Mahindra Teqo is a new age tech-enabled Renewable Energy Asset Management offering from the flagship Mahindra Group – A USD 21 Billion Group spread across 100+ countries. Mahindra Teqo offers complete suite of products & services for streamlined asset management to help global renewable industry maximize returns from your RE assets.

Mahindra Teqo brings to the industry cutting edge Renewable Asset Monitoring solutions, Operations & Maintenance, Asset Management services and Performance analysis services with more than 6 years of experience and a total portfolio (O&M + SCADA) of over 4GWp under management. We also offer leading data analytics solutions from cloud-based storage to actionable insights on how to get more out of the same Asset. 

Position Summary

We are looking for a data engineer with experience in Solar/ Electrical/ Electronics background, expert in creating pipelines, analyzing data and deploying final scripts.

In this role, you should be good in statistics and python.

Key Roles & Responsibilities

  • Preparing analytical reports.
  • Automizing pipelines.
  • Build basic Statistical and analytical models.
  • Build dashboards

Experience

  • 2 to 4 years of experience in Data analytics (Preference to experience in Solar PV field)

Education Qualification / Additional Certifications

  • Bachelors / master’s in electrical/Electronics/CS/IT. 

Technical Skills

  • Good hand in Python.
  • Ready to adopt any new technology/stack. 
  • Good analytical skills.
  • Proficient communication skills.
  • Knowledge of Cloud and Linux shell is essential.

Behavioral Skills

  • Teamwork, Good time-management & multitasking abilities skills
Location
Bangalore
Minimum Work Experience:
2 years
Maximum Work Experience:
4 years
Minimum Qualification:
Graduate
Mandatory SkillSet:
Python, Power BI, Tableau, QlikView, ETL, AWS.
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