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Senior Data Engineer Databricks
Full Time
252000.00 - 342720.00
Job description
Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world’s largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Beyond client projects, we have developed our own products and platforms that enable us to deliver cutting-edge AI solutions at scale. As a Senior Data Engineer Databricks, you will be part of our team that designs, develops, and deploys large-scale data engineering solutions using Databricks, Apache Spark, AWS Glue, and other big data technologies. Your responsibilities will include: • Designing and developing scalable data pipelines using Databricks, Apache Spark, and AWS Glue; • Collaborating with cross-functional teams to integrate data engineering solutions into larger AI systems; • Developing and maintaining large-scale data processing workflows using Python, Scala, or SQL; • Troubleshooting complex data engineering issues and optimizing performance; • Staying up-to-date with the latest advancements in big data technologies and applying this knowledge to improve our solutions. What we offer: • Competitive salary and benefits package; • Opportunity to work on cutting-edge AI projects for top-tier clients; • Collaborative and dynamic work environment; • Professional development opportunities, including training and mentorship programs; • Flexible working hours and remote work options. If you are a highly motivated and experienced data engineer looking for a new challenge, please apply with your resume and a brief cover letter explaining why you would be the perfect fit for our team.
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Company information
- Company
- Addepto
- Location
-
Polska, mazowieckie, Warszawa
Poland - Posted
- 7 months ago
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