Analytics Data Engineer
Pune - GITDC, India
Alfa Laval
Enhancing customers’ competitiveness through world-leading sustainable solutions within the Energy, Food, Water and Marine industries.Should have experience in designing and implementing ETL pipelines Every day, we get opportunities to make a positive impact – on our colleagues, partners, customers and society. Together, we’re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping.
As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too.
About the job
As a Data Engineer you will work from source system to visualization, using the latest technology in Microsoft Azure to accelerate the implementation of all types of analytics in GDAH that the Sales & Service Value stream prioritizes. You will work with the business defining requirements, design, develop, configure, test, and maintain analytics solutions within Alfa Laval. You ensure that solutions meet the needs and evolved over time.
As part of the job, you keep yourself updated within the world of analytics. Together with your colleagues, you participate in evaluations of new tools and technology.
What you know
To succeed you have:
- Working experience as a Cloud Data Engineer/ developer.
- Strong Experience of developing solutions on the Azure Analytics platform (strong knowledge within Azure Databricks, SQL Spark, Python Spark, Azure DevOps, Azure Data Factory, and related Azure resources).
- Practical experience with Databricks, including the creation and maintenance of notebooks and workflows
- Should have experience in designing and implementing ETL pipelines
- Knowledge of Business Intelligence/Data Warehouse architecture (Lakehouse), concepts and modelling (Kimball).
- Knowledge of Business Intelligence development methods and patterns.
- Experience in working within SAFe
Who you are
- We are looking for a person with a great interest for Business Intelligence/ Data Analytics and a passion to break down complex challenges into simple design and solutions that can be maintained efficiently.
What’s in it for you?
- Opportunities for professional growth and development
- A supportive and collaborative work environment
- Exciting projects that challenge and expand your skillset.
- Exposure to the latest technologies in the industry
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Business Intelligence Data Analytics Databricks Data warehouse DevOps ETL Pipelines Python Spark SQL
Perks/benefits: Career development Startup environment
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