Sr. Data Engineer (Buffalo, NY) – Rich Products Corporation

  • Science & Engineering
  • Fulltime
  • 2 years ago
  • Buffalo

Job Information

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    No. of Openings 1 opening
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    Job Experience : 5-10 years
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    Job Qualifications Bachelors

Job Description

Rich’s, also known as Rich Products Corporation, is a family-owned food company dedicated to inspiring possibilities. From cakes and icings to pizza, appetizers and specialty toppings, our products are used in homes, restaurants and bakeries around the world. Beyond great food, our customers also gain insights to help them stay competitive, no matter their size. Our portfolio includes creative solutions geared at helping food industry professionals compete in foodservice, retail, in-store bakery, deli, and prepared foods, among others. Working in 100 locations globally, with annual sales exceeding $4 billion, Rich’s is a global leader with a focus on everything that family makes possible. Rich’s®-Infinite Possibilities. One Family.


The Sr. Data Engineer will be joining an established agile product team that leverages open collaboration, design thinking, and innovation to deliver customer centric data and analytics capabilities. The candidate will leverage our Rich’s Azure platform using Azure Machine Learning Studio, Azure Databricks, and data stored in Rich’s Azure Data Lake that contains customer profile and transactional information. This person will be asked to understand business needs and translate those needs into high-level design plans. The associate will be consulted on technical decisions that balance appropriate tradeoffs between cost, predictability, product functionality, user goals, time to market, process efficiency and above all, business values.

KEY ACCOUNTABILITIES/OUTCOMES• Assembling large, complex sets of data that meet non-functional and functional business requirements• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure and SQL technologies• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition• Perform data pre-processing to prepare data stored in the Data Lake to stage data for machine learning experimentation and analytics.• Utilize automated tools to extract data from primary and secondary sources• Performing analysis to assess quality and meaning of data• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction• Performing analysis to assess quality and meaning of data• Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues• Provides regular status updates to the product owner and technical lead regarding projects.• Develops training plans to ensure effective use of designed systems by customers.• Mentors less experienced I/S associates, training, and guidance as needed.• Researches new development tools and technologies, recommending those which will benefit the organization.• Develops high level testing plans for integration and system testing to identify potential defects and minimize problems within the application after it is implemented.• Led testing activities.• Provides the information, documentation, and guidance necessary to seamlessly transition-designed systems to the operations and support areas.• Performs other related responsibilities, as needed, to support Rich Products Corporation’s

business objectives.• Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.• Perform periodic design and code reviews to ensure high standards are maintained in development• Build and deliver using SDLC and/or agile practices



• Decision Quality
• Collaborates
• Drives Engagement
• Ensures Accountability
• Plans and Aligns
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict
• Technical Acumen
• 5+ years of related experience in a data engineering role
• 4+ years of development experience in Python
• 2+OO development in (Ruby, Java, R) is nice to have
• 2+ years Azure Cloud
• 2+ years of Data Architecture (Azure Data Lake, SQL)
• 3+ years of DevOps related experience
• Experience working within an IDE or source control editor (Visual Studio, Eclipse, etc)
• Strong experience with data visualization tools (PowerBI, Tableau, etc)
• Strong knowledge and understanding of ETL, data replication processing
• Knowledge of ML Algorithms and data science concepts
• Excellent analytical and problem-solving skills
• Databricks Lakehouse architecture experience strongly preferred
• Strong experience with build tools e.g., Azure DevOps, Jenkins, Docker, etc
• Strong experience with source code management (i.e. GIT)
• Experience with Hadoop, Spark, Kafka a plus
• Deep understanding of product development & agile principles

Rich Products Corporation, its subsidiaries and affiliates (“Rich’s”), are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, gender identity, sexual orientation, marital status or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identity, and maintain employment statistics on applicants.

Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Rich’s. Please contact Rich’s Human Resources department at if you need assistance completing this application or to otherwise participate in the application process.

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