Alfa Laval Logo

Alfa Laval

Analytics Data Engineer

Posted 17 Days Ago
Be an Early Applicant
Pune, Mahārāshtra
Mid level
Pune, Mahārāshtra
Mid level
The Analytics Data Engineer will work on developing analytics solutions using Microsoft Azure technologies. Responsibilities include defining requirements, designing, developing, testing, and maintaining these solutions, ensuring they meet business needs while staying updated on analytics trends.
The summary above was generated by AI

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

Top Skills

Python

Similar Jobs

Be an Early Applicant
15 Hours Ago
Pune, Mahārāshtra, IND
83,500 Employees
Senior level
83,500 Employees
Senior level
Fintech • Financial Services
The Data Analytics Engineer will be responsible for building and maintaining data architectures, pipelines, and implementing data lakes and warehouses. The role requires designing algorithms for data processing, collaborating with data scientists for machine learning models, and ensuring data accuracy and security while guiding and developing team capabilities.
Be an Early Applicant
7 Days Ago
Pune, Mahārāshtra, IND
13,646 Employees
Expert/Leader
13,646 Employees
Expert/Leader
Industrial
The Lead Analytics Data Engineer will be responsible for the analysis, design, development, and deployment of changes to optimize existing solutions. They will manage projects related to their expertise in cloud data engineering, specifically on the Azure Analytics platform, including ETL pipelines and Business Intelligence architecture.
Be an Early Applicant
15 Hours Ago
Pune, Mahārāshtra, IND
83,500 Employees
Mid level
83,500 Employees
Mid level
Fintech • Financial Services
The Data Engineer will design and maintain data architectures, including pipelines, data warehouses, and data lakes. Responsibilities include ensuring data accuracy, security, and accessibility while collaborating with data scientists on machine learning models. Additionally, the role involves team leadership and continuous improvement initiatives.

What you need to know about the Mumbai Tech Scene

From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account