Lead Data Engineer
As the Business Intelligence Lead, you'll bring a background in data engineering, data visualization and analytic solutions. Reporting to the Director of Business Intelligence, you will immediately affect and build our data acquisition and business intelligence strategies. You will show up each day obsessing over our challenges and drawing on your creative skills and collaborative nature to develop tangible data solutions. Your daily responsibilities will include partnering with your teams to convert business questions and high-level data collection needs into data models which support reporting requirements while promoting a self-service analytics environment with domain and tool expertise. You will support the Analytics and Data Science teams on our journey through digital transformation.
What You'll Do:
Influence and grow our Business Intelligence (BI) practice by providing expertise on data engineering, data visualization tools and concepts, and creating standards of data engineering for the BI team
Partner with team members in Analytics, Data Science, and Technology to identify best practices for data usage
Facilitate gathering of complex data requirements from start to implementation
Create data engineering pipelines of medium and high complexity
Collaborate with our data analysts to help create data pipelines and data models to build reports, dashboards and insights
Collaborate with our Information Technology team members on building pipelines for self-service analytics enablement
Mentor junior team members in best practices of data engineering and data modeling
What You'll Bring:
Advanced (7+ years) experience with SQL and stored procedures in a data warehouse environment
Advanced (7+ years) experience building data pipelines and workflows using ETL tools like Informatica Powercenter/Cloud, Azure Datafactory or custom python ETL tools.
Intermediate (3+ years) experience using building python based ETL using Pyspark on Databricks
Intermediate (3+ years) experience building database models for data visualization tools such as Power BI, Sigma, Tableau, or Looker
Hands-on experience creating dimensional data models supporting a self-service reporting and dashboarding environment
Hands-on experience building data warehouses and data marts with cloud databases such as Snowflake, Redshift, Oracle ADW, Azure SQL Server
Hands-on experience with Data Lake and Data Warehousing concepts and dimensional modeling and Kimball methodology
Experience learning modern analytics tools and frameworks
Number of Days in Office: 3
Relocation assistance is available for this position. Preference will be given to local candidates.
At this time, we require applicants for this role to be legally authorized to work in the United States without requiring employer sponsorship either now or in the future.
We care about your total well-being and will support you with the following, subject to your location and role:
- Health: Medical, dental and vision insurance, company-paid life, accident and disability insurance
- Wealth: great pay, incentive opportunity, matching 401(k) and stock purchase plan
- Growth: online courses, virtual and classroom development experiences
- Balance: paid-time off, parental leave, flexible work-schedules (subject to your location and role)
Conagra Brands is one of North America's leading branded food companies. We have a rich heritage of making great food, and a team that’s passionate about innovation and growth. Conagra offers choices for every occasion through iconic brands, such as Birds Eye®, Marie Callender's®, Banquet®, Healthy Choice®, Slim Jim®, Reddi-wip®, and Vlasic®, and emerging brands, including Angie's® BOOMCHICKAPOP®, Duke's®, Earth Balance®, Gardein®, and Frontera®.
We pride ourselves on having the most impactful, energized and inclusive culture in the food industry. For more information, visit www.conagrabrands.com.
Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law.