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Sunnydata·23 hours ago
23 hours agoBe an early applicant

Sr Data Engineer | Databricks Experience

ArgentinaFull-timeRemoteSenior · 7+ yearsData Engineer

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Must-have skills for this role

  • databricks
  • sql
  • pyspark
  • azure

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Apply faster with autofill FREEsunnydata uses Ashby - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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 they're looking 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.
  • Bachelor’s Degree in Computer Science or Engineering related field.

Nice to have

  • Experience with Databricks Genie and Databricks Apps is a strong plus.
  • Experience delivering 5+ projects using Databricks is a strong plus.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.

Company

Sunnydata
Argentina

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from sunnydata's careers site·first seen 11 Sept 2026·last verified 11 Sept 2026·How we source jobs

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