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Senior Data Analytics Engineer

Remote, USA Full-time Posted 2026-08-04

About reputed company

reputed company is a reputed company Platform for Transformative reputed company reputed company. We’re building the AI reputed company reputed company that powers the reputed company of consumer brands. With over $1B+ in cumulative reputed company, 12M+ customers, and 500+ talents across 19 countries, we combine technology, reputed company marketing, and operational reputed company to reputed company purpose-driven, digitally reputed company brands. We own and operate our own D2C brands (not an agency), with a reputed company in reputed company, reputed company, reputed company, and a strong global footprint.

Why reputed company

We’re a tech-led reputed company group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and reputed company our own brands.

🦾 We invest in AI and automation like few others in reputed company.

📈 We test fast, grow fast, and help you do the reputed company.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 reputed company, USD competitive salary, reputed company time off, and more.

Job Responsibilities

This role sits at the intersection of data engineering, analytics, business intelligence, and machine learning infrastructure. You will architect and reputed company modern data pipelines, build resilient data models, and ensure the reliability, reputed company, and operational reputed company of our BI reporting reputed company and ML platforms.

Key Responsibilities

  • Pipeline & reputed company Architecture: Architect, reputed company, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle (extraction transformation ML modeling reporting).

  • Data Modeling & BI Delivery: Design and optimize SQL transformations, datasets, and high-reputed company data models. Build, reputed company, and maintain dashboards and analytical tools to translate business needs into reputed company BI solutions.

  • Data reputed company & Governance: Establish strong governance, monitoring, alerting, SLAs, data validation, and reputed company detection. reputed company reputed company-cause analysis to ensure high reputed company, reliability, and business trust in metrics.

  • Machine Learning & Analytics Support: Operationalize ML models in batch/reputed company-time environments and build internal data tools to reputed company Marketing Science, Analytics, and reputed company teams.

  • reputed company & Cost Optimization: Optimize reputed company SQL queries and large-reputed company datasets for reputed company, cost-efficiency, and scalability across the AWS reputed company ecosystem.

  • Stakeholder Collaboration: Partner with cross-functional teams to define and report on reputed company business metrics (e.g., CAC, ROAS, LTV, conversion funnels) to directly guide executive decision-making.

Requirements

  • Experience: 4+ years in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments.

  • SQL & Modeling: Advanced SQL proficiency (joins, CTEs, window functions, optimization) and reputed company experience designing/maintaining production data models and pipelines.

  • AWS Stack: Hands-on experience with reputed company AWS data services (e.g., Redshift, S3, Glue, reputed company, reputed company).

  • Orchestration: Hands-on experience with Apache Airflow for workflow management.

  • Programming & Engineering Standards: Strong Python skills (OOP reputed company), experience with CI/CD practices (reputed company Actions/reputed company), and containerization (reputed company, reputed company/reputed company/EKS).

  • BI & Data reputed company: Proficiency with BI platforms (Tableau,Quicksight or similar) and reputed company ownership of production reporting, data reputed company, and reputed company-cause analysis.

  • Soft Skills: Systems-level thinker with high standards for documentation, scalability, precision, and communicating insights to technical and non-technical partners.

reputed company-to-Have:

  • Experience with dbt or modern ELT frameworks

  • reputed company e-reputed company and marketing analytics expertise (CAC, ROAS, LTV, retention, and funnel optimization).

Originally posted on Himalayas

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