Lead Analytics Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Pune, Mahārāshtra
Expert/Leader
Industrial
The Role
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.
Summary Generated by Built In

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.

Looking for profile with an experience level from 9 to 13 yrs

• Specialized knowledge of the solutions, systems and technology within their area and level of expertise.
• Perform regular support, maintenance and administration of solutions, systems and technology within their area of and level of expertise.
• Operational execution of activities within their area and level of expertise.

• Analysis, design, develop, build, configure, test and deploy changes to optimize existing solutions and ensure that solutions meet requirements outlined in the design documentation to agreed time, cost and quality within their area and level of expertise.
• Project management of activities, deliveries or smaller, less complex projects, depending on experience.

  • 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

Top Skills

Python
The Company
HQ: Lund
13,646 Employees
On-site Workplace
Year Founded: 1883

What We Do

Pioneering positive impact!

Our pioneering 140-year-old start-up culture is built on the idea that partnership is the key to solving complex problems and unlocking the full potential of resources. So we collaborate closely with our partners, customers, and thought leaders to create game-changing solutions that challenge conventional thinking on quality, efficiency, and innovation. United by a shared commitment to creating positive impact we’re reshaping vital industries, like energy, food, water, and shipping, to optimize efficiency, reduce emissions, and increase yields. Together, we’re building business success, elevating the quality of life across society, and driving progress towards a more sustainable world.

Alfa Laval is a leading global provider of first-rate heat transfer, separation, fluid handling products separation, and fluid handling products. With these as its base, Alfa Laval aims to help enhance the productivity and competitiveness of its customers in various industries throughout the world. We define their challenges and deliver sustainable products and solutions that meet their requirements – in energy, the environment, food, and the marine industry.

Alfa Laval today has customers in some 100 countries, employs more than 21,300 people, and annual sales were SEK 63.6 billion (5.5 BEUR) in 2023. The company is listed on Nasdaq Stockholm. Alfa Laval contributes to 15 of the 17 UN Sustainable Development Goals. Our solutions make a difference in daily life. You can learn more on our website about how our products work, and how they are used in industries worldwide.

We welcome your engagement, comments and questions - our guidelines and moderation policy for Alfa Laval channels on social media can be found here: https://www.alfalaval.com/legal/community-guidelines/

Personal data will be handled in accordance with the Alfa Laval Privacy Policy. https://www.alfalaval.com/privacy

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