Data Engineer – Python, Chennai, India

SHAPING RENEWABLE TECHNOLOGIES OF TOMORROW
Jan 5, 2022 • 
Chennai, India

Blue Power Partners is a global consultancy and project development company with a dedicated focus on developing renewable energy. Our journey started five years ago and today, we are proud to have successfully onboarded more than 150 colleagues worldwide.

We are strengthening our capabilities within data and BI architecture to deliver both internal tools and applications as well as client-oriented SaaS solutions reliant on data-intensive applications.

Being successful in this role is highly dependent on your ability to design and implement large-scale distributed data architecture using an integrative approach of Python and Azure environment.

About the job

As our systems are based on highly intensive data processing, data engineering and data analytics-oriented solutions, we expect you to be part of designing and implementing data architectural and intelligence-based systems to provide more business values to our stakeholders and customers.

Your day-to-day responsibilities will include:

  • Be involved in the product research and development team to build the data-centric systems that resolve the business requirements and improve the operational efficiency
  • Gathering the requirement from stakeholders and providing the technology solutions from data management perspective
  • Developing data-based applications by using Python and Azure Serverless computing solutions
  • Supporting on issues and data exporting requests from the project team
  • Involving in continuous development process of product and customizations for each project
  • Continuous monitoring and creating alert, analytics-based systems to improve the operational
  • Closely work with stakeholders to provide data and analytics needs

About you

As a person, you bring an entrepreneurial spirit to our team, and you are eager to deploy high-quality deliverables – from prototypes to full-fledged solutions.

Besides, we expect you to enrich our business with the following competencies and skills:

  • BE/BTech/MCA/Equivalent degree in Computer Science or a related technical field
  • +5 years’ experience in data engineering using python and SQL
  • Experience in data engineering libraries such as pandas, numpy, matplotlib, Scipy, Keras, and TensorFlow
  • Experience in handling large number of flat file processing and database data movement strategies
  • Exposure in automation of tasks and creating system software to create an automation interface
  • Knowledge of Software Development Life Cycle and Agile Software Development
  • Experience on visualization tools like Power BI. Tableau, Spotfire would be an advantage
  • Experience in data science and data warehouse would be an advantage

About us

Blue Power Partners is supporting worldwide leading developers, asset owners and technology companies within origination, development, construction and performance optimization of onshore/offshore wind, solar, PtX and storage projects.

Working at Blue Power Partners means being part of an international company and working alongside people with a broad range of skills, from a variety of cultures. Our company is growing rapidly based on our strong company values, and we are committed to maintaining an agile environment with a strong can-do, dynamic and entrepreneurial spirit.

During the recruitment process, Blue Power Partners is processing all registered personal data in compliance with the European General Data Protection (GDPR), and we reserve the right to screen the SM accounts of potential candidates.

Application

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For additional information about this opportunity, please contact assigned teammember, if you have any questions regarding the content of this position.

Your resume and application are submitted to india_career@bluepp.dk

During the recruitment process, Blue Power Partners is processing all registered personal data in compliance with the European General Data Protection (GDPR), and we reserve the right to screen the SM accounts of potential candidates.