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Senior Data Engineer at SunnyData | Uruguay

SunnyDataUruguay
On-site Full-time

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Experience Level

Senior

Qualifications

What We Look For5+ years of relevant experience in data engineering and data product development. Experience in one or more of the following:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)Solid understanding of the end-to-end data analytics workflow. Demonstrated track record of domain expertise, including the ability to understand technical challenges and deliver effective solutions.

About the job

At SunnyData, we are dedicated to guiding our clients through their data journey to empower their business operations. We understand that a robust data infrastructure is essential for achieving exceptional data-driven outcomes, including scalable architectures, resilient data engineering pipelines, straightforward data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will be integral to this journey, collaborating closely with internal teams and clients to design, construct, and implement data solutions that capture, explore, transform, and leverage data to facilitate insights in AI, ML, and business intelligence.


Your Impact

  • Join a dedicated team committed to addressing the data engineering needs of both new and existing clients.

  • Advise clients on optimal technical choices to meet their objectives.

  • Manage multiple customer accounts, ensuring consistent tracking and reporting on their progress.

  • Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality and cleansing strategies.

  • Evaluate data sources to assess their utility and recommend integration into analytical processes.

  • Incorporate essential data management principles, including governance, security, and quality.

  • Collaborate within and across teams to facilitate delivery and educate end-users on data products and analytic environments.

  • Conduct data and system analyses, identifying and resolving defects and incidents of moderate complexity.

  • Test data movement, transformation code, and data components.

Qualifications

  • A minimum of 5 years of experience in data engineering and data product development.

  • Proficiency in one or more of the following technologies:

    • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)

    • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)

    • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)

  • Strong understanding of the complete data analytics workflow.

  • Proven track record of domain expertise, including the ability to comprehend technical challenges and deliver effective solutions.

About SunnyData

SunnyData is at the forefront of the data revolution, committed to empowering businesses to harness the power of their data. Our mission is to provide innovative data solutions that drive efficiency and growth. We pride ourselves on building strong relationships with our clients and supporting them throughout their data journey.

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