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Data Engineer

2 months ago

Victor, New York, United States Constellation Brands Full time
About the Role

We are seeking a highly skilled Data Engineer to join our Digital Business Acceleration (DBA) team at Constellation Brands. As a Data Engineer, you will play a critical role in building high-quality data pipelines that drive optimized and scalable cloud-based solutions for our business.

Key Responsibilities
  • Develop, optimize, and maintain data architecture and pipelines that adhere to rigorous industry standards and best practices.
  • Excel in a culture of open collaboration, code re-usability, and technical design for scalability and stability, in service to maximizing operational efficiency within the data mesh paradigm.
  • Learn, develop with, and implement emerging tools and processes that achieve tangible cost savings to DBA and its stakeholders.
  • Challenge existing paradigms with innovative thinking. Propose and implement improvements that enhance efficiency, scalability, and effectiveness in data solutions.
  • Build reusable data solutions and ensure thorough documentation that facilitates understanding and adoption across the team.
  • A commitment to continuous learning and personal development.
  • A proactive approach to staying current with industry advancements coupled with a practical understanding of prioritizing business deliverables.
  • Maintain clear and concise documentation. Present your findings and solutions effectively to diverse stakeholders with partnership from senior engineers and architects.
  • Collaborate with cross-functional teams that consist of product owners, agile coaches, app architects, BI engineers, and data scientists.
Requirements
  • Bachelor's degree required. (Computer Science, MIS, IST, or Engineering preferred.)
  • 4+ years of previous experience working in a data or software engineering role.
  • Expert within the Data & Analytics discipline, including dimensional modeling, ETL/ELT, data warehousing, and SQL, data collection, data transformation, and quality checks on structured and unstructured data.
  • Expert in Python programming, including packages such as pandas, numpy, matplotlib, etc.
  • Expert in working with source control platforms (GitHub preferred).
  • Skilled in database development using Hadoop or a similar technology, with a variety of experiences pertaining to relational databases, NoSQL, and cloud database technologies (Snowflake preferred).
  • Skilled in developing and maintaining data warehouses on Big Data platforms.
  • Hands-on experience with AWS cloud computing platform and their package of services (Associate or specialty AWS certification preferred).
Preferred Qualifications
  • Experience or conceptual knowledge of machine learning, data science, artificial intelligence, statistics, and/or applied mathematics.
  • Experience with SAP or another ERP platform.
  • Conceptual knowledge or basic experience with Event-based Architecture.
Agile Experience
  • Experience working within a collaborative Agile product team and contributing to/defining the team's Ways of Working.
  • Experience with ticketing system tools and digital documentation platforms (JIRA and Confluence preferred).
Individual Skills
  • Self-motivated, with strong problem-solving skills, a desire to self-educate, and integrate seamlessly within a highly motivated and highly regarded DE chapter.
  • Reacts quickly, calmly, and methodically to unexpected changes in project requirements.
  • Excellent communication and listening skills.
  • Accountable, and Always Improving.