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Supply Chain

hace 3 meses

Madrid, Madrid, España Straumann A tiempo completo
We are Neodent, the leading Brazilian brand in dental implants in the country and for 30 years, we have contributed to the promotion of thousands of new smiles every day. We are part of the Straumann Group and in Brazil, we represent the brands Neodent, Straumann, ClearCorrect and Yller.Our purpose is to create new smiles every day and we do this guided by a cultural journey and Protagonist & Apprentice mentality, which make our employees a high-performance team.

The E2E Supply Chain – Data Engineer will prepare data for use by analysts, data scientists, and self-service analytics internal consumers via analytics tools by filtering, tagging, joining, parsing, and normalizing and building out E2E supply chain data lake. You will also maintain processes, standards, and policies needed to ensure high quality master and transactional data, consistent with Straumann groups Digital practices and E2E supply chain strategy.

Main Tasks and Responsibilities
  • Supply Chain Data Optimization: Utilize data preparation and modeling techniques to optimize supply chain data for self-service analytics, product development, modeling, and data discovery. This includes filtering, tagging, joining, parsing, and normalizing supply chain data.
  • Data Management: Proficiently organize and enhance data to facilitate analytics, modeling, and product development. This involves establishing essential data pipelines, standardizing data from diverse sources, and generating meaningful insights.
  • Machine Learning Expertise: Skillfully craft, optimize, and deploy machine learning models to drive advanced analytics and AI systems.
  • Supply Chain Data Enrichment: Identify new variables and insights that can enhance curated supply chain data sets and models.
  • ETL/ELT Pipeline Mastery: Expertly construct and sustain ETL/ELT pipelines using AWS Glue, ensuring seamless data transformation and integration.
  • Data Warehousing: Design and manage data warehouses using AWS Redshift and Snowflake to ensure scalable, reliable, and performant data storage solutions.
  • Data Integration and Workflow Automation: Implement data integration and workflow automation using AWS services such as AWS Lambda, AWS Step Functions, and AWS Data Pipeline.
  • Standardization Across the Supply Chain: Harmonize and standardize supply chain data from various sources, including structured, unstructured, and waveform data.
  • Innovative Analysis: Demonstrate ingenuity by devising innovative analytical methods, aiding collaborators in interpreting results effectively.
  • Collaborative Supply Chain Teamwork: Actively participate in project team meetings, providing technical expertise and insights, with a specific focus on modern software stacks in supply chain management.
Requirements needed
  • Bachelor's Degree in computer science or software engineering or related field
  • 3+ years of experience working in software development or as data engineer or in similar role
  • 3+ years of experience with AWS services (e.g., AWS Glue, AWS Data Pipeline, AWS Lambda, AWS Step Functions, AWS Data Pipeline)
  • Experience with Snowflake for data modeling and transformation
  • Proficient in programming languages such as Python, SQL, and familiarity with PySpark
  • Experience with cloud platforms, specifically AWS
  • Fluent English spoken and written, other languages are an asset (DE/FR/ES/PT)
  • Ability to communicate effectively.
  • Familiarity with digital technologies and process design.

* The position can be allocated in person in Curitiba (Brazil) or Madrid (Spain).

What will you find here?
(Benefits for the position in Curitiba)

  • Food vouchers;
  • Meal ticket;
  • Health plan with extensive national coverage for dependents;
  • Dental Plan;
  • Gympass;
  • Transport voucher or parking allowance;
  • Participation by Results (PPR);
  • Internal development programs;
  • Discounts on our product lines;
  • Growth opportunities

Neodent believes in diversity, which is why our vacancies are available to everyone, regardless of gender, race, sexual orientation, religion, nationality, age or disability.

Come with us to make the world smile

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