Data Analytics Senior

🚀 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 🤓

• Build and maintain interactive dashboards and reports in Power BI to support business and operational decision-making.
• Develop and optimize data models, datasets, and semantic layers using Databricks and SQL.
• Design, validate, and automate data transformations to ensure high-quality, reliable reporting.
• Collaborate with Data Engineering and business stakeholders to define reporting requirements and KPIs.
• Monitor data quality, troubleshoot reporting issues, and ensure consistency across dashboards and data sources.
• Create and maintain documentation for dashboards, metrics, and reporting processes to support scalability and knowledge sharing.

Required Skills 💻

• 5+ years of experience building production data pipelines.
• Strong experience with PySpark, Delta Lake, and Medallion architectures.
• Hands-on experience with Microsoft Fabric (Lakehouses, Notebooks, Data Pipelines, OneLake).
• Strong SQL skills (CTEs, window functions, analytical queries).
• Experience building reliable, production-grade pipelines (backfills, reruns, monitoring, late-arriving data).
• Familiarity with the Azure ecosystem (Blob Storage, Entra ID, Key Vault).
• Advanced English, with the ability to collaborate effectively in distributed teams.

🎁 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!

Originally posted on Himalayas