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Alfa Laval

Lead Analytics Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Pune, Mahārāshtra
Expert/Leader
Pune, Mahārāshtra
Expert/Leader
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.
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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

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