For more than 50 years, Cannondale has been a leading innovator in the cycling world. As more riders of all ages and abilities get on the roads, trails, and streets than ever before, we're here to do the best work of our lives to push the greatest human-powered machine into the future each and every day. We're committed to building a diverse and inclusive workforce where every teammate can succeed as we inspire riders everywhere. Fueled by a free-thinking, always-game, got-your-back mentality, we ditched the rulebook and set forward on a path to make iconic bikes that simply work better. We look forward to the ride with you.
As a Data Engineer at Cannondale, you will play a key role in designing, implementing, and maintaining data infrastructure and processes critical to our business operations. You will be responsible for creating efficient ETL (Extract, Transform, Load) processes in Azure Data Factory, managing and optimizing our Snowflake instance, and collaborating with both IT and Business stakeholders to fulfill new data requests and ensure data quality and integrity. If you are passionate about data engineering, enjoy the juxtaposition of tech and laymen's talk, and eager to take on new challenges, we encourage you to apply and join our team!
*Please note, this is an in-office hybrid (T-Th) role; remote candidates cannot be considered at this time.*
Key Responsibilities:
- Design, develop, and maintain ETL processes using Azure Data Factory to extract, transform, and load data from various sources into our data warehouse.
- Design and manage our Snowflake data warehouse instance, including schema definition, performance tuning, capacity planning, and security management.
- Collaborate with IT and Business stakeholders to understand data requirements and translate them into technical solutions.
- Structure and optimize data in the data warehouse and other application systems to ensure scalability, efficiency, and reliability.
- Implement data quality checks and validation processes to ensure accuracy and completeness of data.
- Monitor and troubleshoot data pipelines and resolve any issues in a timely manner to minimize downtime and ensure data availability.
- Stay up-to-date with emerging technologies and best practices in data engineering and recommend improvements to enhance data infrastructure and processes.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- 4-5+ years of proven experience working as a Data Engineer or similar role.
- Strong proficiency in SQL and experience with database technologies such as Snowflake, Microsoft SQL Server, or similar.
- Hands-on experience with cloud-based data platforms, particularly Azure Data Factory.
- Familiarity with data modeling concepts and techniques.
- Experience with SAP BW a plus
- Experience with Microsoft Dataverse/Fabric a plus
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred Qualifications:
- Experience with other cloud platforms such as AWS or Google Cloud Platform.
- Knowledge of programming languages such as Python or Java.
- Certification in Azure Data Engineering or Snowflake Administration.
Want a closer look into what it's like to Come Ride With Us? Explore more of Cannondale on Instagram and LinkedIn.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Cannondale we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, regardless of your gender or race, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
We are an Equal Opportunity Employer. All persons shall have the opportunity to be considered for employment without regard to their race, color, religion, national origin, ancestry, alienage or citizenship status, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability, military service and veteran status, pregnancy, childbirth, and related medical conditions, or any other characteristic protected by applicable federal, state or local laws. For additional information, please click here. We will endeavor to make a reasonable accommodation for the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to apply for a role with or participate in the hiring process with the Company, please let us know.
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