🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

🌟 Our Values

• 📊 We are Data Nerds
• 🤗 We are Open Team Players
• 🚀 We Take Ownership
• 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• Design and implement enterprise data solutions using Databricks.
• Lead end-to-end Databricks projects, including migrations from legacy platforms.
• Design and optimize solutions using Apache Spark, with a strong focus on performance and scalability.
• Work closely with Databricks Professional Services teams and clients to define and deliver technical solutions.
• Implement CI/CD practices and Databricks Asset Bundles (DABs).
• Troubleshoot complex technical challenges and provide scalable, high-quality solutions.
• Contribute to Data Engineering, Lakehouse, and data platform modernization initiatives.

Required Skills 💻

• 7+ years of experience in Data Engineering, Data Platforms, or Analytics.
• 10+ years of total professional experience.
• Proven experience delivering 4–6+ end-to-end Databricks projects in production.
• Databricks Certification is mandatory (non-negotiable). Databricks Associate is the minimum requirement; Professional certification is strongly preferred.
• Strong hands-on expertise with Apache Spark, including internals, window functions, aggregations, and clustering.
• Proven experience with legacy-to-Databricks migrations.
• Deep expertise in at least one cloud platform: AWS, Azure, or GCP.
• Hands-on experience with CI/CD and Databricks Asset Bundles (DABs).
• Strong knowledge of Databricks performance tuning and scalability.
• Knowledge of GenAI, RAG, Databricks Genie, or Databricks Apps is a plus.
• English proficiency and availability to work with US time zone overlap.

🎁 Perks

• Remote-first culture – work from anywhere! 🌍
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• In-Company English Lessons.
• Birthday off + an extra vacation week (Mutt Week! 🏖️)
• Referral bonuses – help us grow the team & get rewarded!
• Maslow: Monthly credits to spend in our benefits marketplace.
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
• 👶 Monthly Childcare Reimbursement  – Because supporting families matters too