Sr Data Engineer | Databricks Experience

Sunnydata
Uruguay
Hybrid

Who this role is best for

Best suited to experienced data engineers with a consulting background working in data product development and AI-driven environments.

Best fit for

  • Candidates with 7+ years in data engineering and a consulting background
    — “7+ years of related experience in data engineering and data product development.”
  • Individuals who have led multiple Databricks migration projects
    — “Experience with legacy-to-Databricks migration projects.”
  • Professionals with a strong foundation in data governance and cloud infrastructure
    — “Incorporate core data management competencies including data governance, data security and data quality.”

Things to consider

  • Strong emphasis on client engagement and technical guidance
    — “Guide customers to make the best technical decisions to achieve their goals.”
  • Requires working across multiple customer accounts and tracking progress
    — “Actively work across multiple customer accounts which you would need to track and report on their progress.”

How to stand out

  • Highlight your experience delivering multiple Databricks projects and client impact
    — “Experience delivering 5+ projects using Databricks is a strong plus.”
  • Showcase your ability to collaborate and educate end users on data products
    — “Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and build data solutions for customers
  • recommend data cleansing and quality solutions
Typical background
7+ years of experience in data engineeringBachelor’s degree in Computer Science or related field

Skills & requirements

Required

Data EngineeringDatabricksCloud ServicesData Governance

Preferred

Databricks GenieDatabricks Apps

About the role

Original posting from Sunnydata via Ashby

At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Senior Data Engineer with Databricks experience, you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights.

The Impact You Will Have

  • Be part of a team responsible for supporting new and existing customers in their data engineering needs.
  • Guide customers to make the best technical decisions to achieve their goals.
  • Actively work across multiple customer accounts which you would need to track and report on their progress.
  • Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.
  • Analyze data sources to determine their value and recommend them to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
  • Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
  • Test data movement, transformation code, and data components.

What We Look For

  • 7+ years of related experience in data engineering and data product development.
  • 3+ years of experience in Consulting enviorment.
  • Strong knowledge of the Databricks platform.
  • Experience with legacy-to-Databricks migration projects.
  • Hands-on experience with DAB, clustering techniques, and performance optimization,
  • Familiarity with other data platforms and technologies.
  • Experience working with Azure, AWS, or GCP, as well as CI/CD and GenAI.
  • Strong SQL and PySpark skills.
  • Excellent communication, collaboration, and leadership skills.
  • Experience with Databricks Genie and Databricks Apps is a strong plus.
  • Experience delivering 5+ projects using Databricks is a strong plus.

Education:

  • Bachelor’s Degree in Computer Science or Engineering related field.

Our Commitment to Diversity and Inclusion:

SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.

Why Join SunnyData?

  • Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
  • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
  • Career Growth: Opportunities for professional development and career advancement.
  • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Source: Sunnydata careers (Ashby)

Similar roles

More roles at Sunnydata