Data Engineer

We are seeking a high skilled and motivated Sr. Data Engineer to join our team. The successful candidate will play a crucial role in building and maintaining our data infrastructure and analytics capabilities. You will work collaboratively with our data science and business intelligence teams to ensure the efficient flow and quality of data across our systems., * ETL Development:

• Design, develop, and maintain robust ETL processes for extracting, transforming, and loading data from various data sources to our data warehouse.
• Data Analysis & Modeling:
• Collaborate with data analysts and stakeholders to understand data requirements and build efficient data models.
• Data Pipeline Management:
• Develop and optimize scalable data pipelines to handle large volumes of data efficiently using Spark and other big data technologies.
• Data Integration:
• Utilize tools like HVR and Matillion to integrate data from diverse sources, ensuring data integrity and availability.
• Data Visualization:
• Create and maintain dashboards and reports using PowerBI and Looker to support business decision-making.
• Data Warehousing:
• Manage and optimize data storage solutions on platforms like Amazon Redshift to enable efficient querying and data analysis.
• Collaboration:
• Work with cross-functional teams, including data science, software engineering, and business intelligence, to deliver comprehensive data solutions.
• Machine Learning Support:
• Collaborate on the development and deployment of machine learning models, ensuring proper data preprocessing and management.
• Code Versioning:
• Use Git for code versioning and collaboration on data projects.

• Master’s degree in Information Systems, Computer Science, Data Science, or a related field.
• At least 5 years of experience as a Data Engineer or in a similar data-focused role.
• Previous hands-on experience with Amazon Redshift.
• Previous experience in Python for data processing and analysis.
• Previous experience in developing ETL workflows and data pipelines.
• Previous experience working in Agile environment is a plus.
• Ability to be familiar with Spark for data processing.
• Ability to work independently and part of a team as well.
• Ability to have strong communication and collaboration skills.
• Ability to be proficient with Git for version control and collaboration.
• Ability to have strong problem-solving skills with an analytical mindset.
• Ability to have high attention to detail and a commitment to data quality.
• Ability to be proficient in Power BI and Looker for building impactful dashboards.
• Ability to understand machine learning concepts and the ability to work ML models.
• Working knowledge of HVR and Matillion for data integration.
• Working knowledge of querying, analysis, and database management., Must be able to perform essential duties and responsibilities efficiently, accurately, and safely with or without accommodation. Must comply with all company policies and procedures, as well as, state, federal and safety regulations.

Pulled from the full job description

• Tuition reimbursement
• 401(k)
• Health insurance
• Vision insurance
• Health savings account
• Dental insurance
• Profit sharing, Schedule: Monday-Friday 8:00 AM-5:00 PM. This is a salaried position schedule may change due to business demands

Pay: Based on experience, * Competitive compensation package and generous Health benefits (Medical, dental and vision)

• 401K profit-sharing plan
• HSA with employer contributions
• Wellness program with premium incentives
• Tuition reimbursement up to $4,000 per calendar year
• Driven work environment that recognizes, respects, and appreciates results.

Since 1939, our family has delivered quality and integrity-in our business, our products, and our relationships. Founded by Nicholas Mouskondis over 80 years ago, Nicholas and Company are third-generation family owned and operated. With both our family and our business rooted in the community, we’re the local choice for foodservice.