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Senior Data Engineer

sunnydata

New
Senior 🇬🇧 English
Spark Hadoop Kafka pandas scikit-learn HPO SQL OLTP OLAP DSS data governance data security data quality AWS Azure GCP Databricks

Job description

About the role

At SunnyData we help customers on their data journey, building scalable architectures and AI‑enabled analytics. As a Senior Data Engineer you will design, build and deploy data solutions that support machine learning, business intelligence and data‑driven insights.

Key responsibilities

  • Support new and existing customers by understanding their data engineering needs and guiding technical decisions.
  • Design, build and operationalize complex data pipelines, apply transformations, and ensure data quality and governance.
  • Analyze data sources, recommend inclusion in analytical processes, and troubleshoot issues across multiple accounts.

Required profile

  • 5+ years of experience in data engineering and data product development.
  • Strong problem‑solving, debugging, and communication skills in English.
  • Intermediate leadership ability and proven self‑motivation for personal growth.

Required skills

  • Data engineering technologies: Spark, Hadoop, Kafka.
  • Data science tools: pandas, scikit‑learn, hyperparameter optimization (HPO).
  • Data warehousing and SQL (OLTP/OLAP/DSS).
  • Data governance, security and quality practices.
  • Public cloud platforms: AWS, Azure, GCP (nice to have).
  • Databricks certification (nice to have).

What we offer

  • Innovative environment with cutting‑edge technologies.
  • Opportunity to make a real impact on customer business decisions.
  • Career growth and professional development pathways.
  • Collaborative culture that values knowledge sharing.

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec sunnydata.
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Source : ats:ashby

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Published 3 hours ago

Expires 1 month from now

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