Tetra Pak - Pune, IN

posted about 1 month ago

Full-time - Senior
Pune, IN
Paper Manufacturing

About the position

At Tetra Pak we commit to making food safe and available, everywhere; and we protect what's good - protecting food, protecting people, and protecting the planet. By doing so we touch millions of people's lives every day. And we need people like you to make it happen. We empower you to reach your potential with opportunities to make an impact to be proud of - for food, people and the planet. If you're a Senior Data Modelling Specialist based in Pune, India, who is focused on delivering cutting-edge data-driven solutions within Technical Infrastructure Delivery and If you have a passion for working with large datasets, building scalable data models, and leveraging your skills in SQL Server, ETL, and Python, you might be seeing an opportunity that others aren't. Here, you have the freedom to use your expertise to improve something vital to all of our lives - food. With structured career development, a role with us can take your career to the next level. Join us and make an impact to be proud of - for food, people and the planet.

Responsibilities

  • Design and implement robust data models.
  • Create and schedule ETL jobs.
  • Automate processes using Python.
  • Develop and optimize complex SQL queries.
  • Design, build, and maintain efficient ETL pipelines.
  • Utilize Python for automation, data transformation, and integration with various systems and data platforms.
  • Manage incidents/requests using ServiceNow.
  • Provide support and mentorship to other colleagues.

Requirements

  • At least 8 years of hands-on experience in data modeling.
  • Strong expertise in SQL Server (T-SQL, stored procedures, performance tuning).
  • Extensive experience designing, building, and maintaining ETL processes using tools like SSIS or other ETL frameworks.
  • Solid experience with Python for data manipulation, automation, and working with data processing libraries such as Pandas, NumPy, etc.
  • Proficiency in data modeling tools like SSAS, or others for designing relational and dimensional data models.
  • Strong understanding of database architecture, performance tuning, and optimization in SQL Server environments.
  • Ability to analyze complex business requirements and translate them into effective data solutions.
  • Strong written and verbal communication skills.
  • Proven ability to work in cross-functional teams and effectively collaborate with technical and business stakeholders.

Benefits

  • A variety of exciting challenges with ample opportunities for development and training in a truly global landscape.
  • A culture that pioneers a spirit of innovation where our industry experts drive visible results.
  • An equal opportunity employment experience that values diversity and inclusion.
  • Market competitive compensation and benefits with flexible working arrangements.
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