Data Engineer Jobs

Joining King’s Hawaiian makes you part of our `ohana (family). We are a family-owned business for over seventy years, respecting our roots while thinking about our future as we continue to grow and care for our customers and the communities we serve. Our `ohana members build an environment of inclusivity as they freely collaborate, pursue learning through curiosity, and explore innovation as critical thinkers. Beyond that, we are also passionate about supporting the long-term health and well-being of our employees and their families. If you’re excited to rise with our team, come and join our `ohana!

Working under the general supervision of the Chief Data and Analytics Officer, the Data Engineer will support a diverse set of stakeholders (data architects, data scientist, BI developers) within King’s Hawaiian on functions related to continued design, development, and optimization of the data pipelines & data platform. The data engineer will be charged with the data pipeline which brings the data from various data sources to support the analysis, reporting, audience creation and data science needs of King’s Hawaiian. The individual will also manage workflow orchestration and demonstrate strength in machine learning data modeling.

Essential Job Duties And Responsibilities

• Understand the technology landscape and how it affects the areas of business; trends associated with the technology; functional area and industries and the value propositions for the business to adopt new digital transformation
• Build Data Storage Solutions with SQL Server and Data Lakes.
• Ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints
• Perform other duties as required or assigned which are reasonably within the scope of this role
• Lead the effort to gather, analyze and model business data (customers, financials, operational, organizational), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making
• Interact with business to understand the requirements to conclude blueprint, configuration, testing, migration, support, and continuous enhancements
• Design, implement, monitor, and optimize data platforms to meet the data pipeline needs
• Manage and lead the ML projects to ensure timely delivery
• Design, build and launch efficient and reliable data pipelines to move data across several platforms including Data Warehouse
• Work closely with data scientists and DW/BI Architects to employ industry best-practices for efficient and reliable data pipelines

BASIC QUALIFICATIONS (EDUCATION And/or EXPERIENCE)

• Experience in API development and/or ETL processes
• Lakehouse architecture experience preferred
• Bachelor’s degree in IT from an accredited 4-year college or equivalent relevant experience required
• Experience extracting/cleansing data and generating insights from large transactional data sets using SQL, R, Python, Spark on the cloud
• Experience in data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Experience in CPG industry is preferred
• Experience building and managing data pipelines and repositories in cloud environments such as Google Cloud, Microsoft Azure or AWS
• 5+ years’ experience in a data engineering role

Additional Qualifications (job Skills, Abilities, Knowledge)

• Working knowledge of SAP SAC, SAP MII, SAP DMC, SAP Fiori, HANA Studio.
• Ability to travel 30% of the time.
• Expert in writing R and Python - Scripts,
• Working knowledge in building Analytical applications
• Expert in writing formulae in importing jobs
• Ability to be flexible and work analytically in an ever-changing, problem-solving environment
• Ability to walk King’s values of excellence, dignity, saying it life it is in a way it can be heard; and curiosity, collaboration, critical thinking and emotional intelligence.
• Proficient ability to translate business needs into advanced analytics solutions
• Proficient with Self-service BI
• Working Knowledge of SAP data structures, End to End dataflow, SAC predictive capabilities, augmented analytics, forecasting, etc.
• Proficient leadership, communication (written and oral) and interpersonal skills
• Expert in configuring delta loads
• Proficient ability with SAP Analytics technologies: S/4HANA Embedded Analytics, BW/4HANA, SAP Fiori, HANA XS applications, Google/Azure/AWS Cloud technologies and BI/visualization tools
• Proficient in building Data actions and Allocation Process
• Basic understanding of RDBMS and familiarity with SQL
• Expert in building connections with sources to Data lakes, Data warehouses and data imports
• Expert in creating ML data models and data pipelines.

King's Hawaiian is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our ohana.