Data & AI

Turn data into decisions. Our Data & AI teams build trustworthy platforms, deliver governed datasets,
and ship AI features responsibly—so insights and automation reach the people who need them.

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Working With Us

We build trustworthy data platforms and responsible AI with clear ownership, quality checks, and measurable impact.

  • Core Data Engineer
  • Data Engineer
  • Web Analytics Data Specialist
  • AI Engineer

Core Data Engineer

Our Skilled Core Data Engineer designs, build, and maintain scalable data pipelines and analytics solutions that support data-driven decision-making. The role involves working with Python, SQL, AWS, and Power BI to ensure high-quality data management, insightful reporting, and effective collaboration with business stakeholders.

  • Design and maintain data pipelines, ETL processes, and optimized data models.

  • Develop interactive dashboards and automated reports using Power BI and spreadsheets.

  • Perform advanced data analysis and complex SQL querying to generate insights.

  • Manage and optimize cloud-based data solutions on AWS and support cross-functional teams.

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Data Engineer

Deliver reliable data for analytics and products. We ingest, transform, and expose datasets with scalable ELT patterns and well-documented contracts.

  • Ingest from APIs, files, events, and databases with CDC where needed

  • Transform at scale with SQL/DBT/Spark, versioned and tested

  • Publish clean, discoverable marts and semantic layers

  • Observability: freshness, volume, and distribution checks

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Web Analytics Data Specialist

Turn digital signals into decisions. We implement analytics, unify customer data, and surface insights to optimize acquisition and conversion.

  • Implement GA4/Tag Manager, consent, and server-side tagging

  • Event schemas, UTM governance, and identity stitching (CDP)

  • Attribution, cohorting, and funnel analysis for growth experiments

  • Self-serve dashboards and alerts for marketing and product teams

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AI Engineer

Ship AI features responsibly. Our AI engineers build, evaluate, and deploy models with strong MLOps practices and human-centric design.

  • Model selection, fine-tuning, and evaluation for business outcomes

  • MLOps: feature stores, CI/CD for models, monitoring and drift

  • Responsible AI: data privacy, bias checks, and guardrails

  • Integrations via APIs/agents and UX patterns for adoption

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Data & AI

We design modern lakehouse architectures, orchestrate reliable pipelines, and implement data quality and lineage. With semantic layers and self‑serve analytics, your teams can explore confidently.

From strategy to MLOps, we partner across the lifecycle—prioritizing measurable outcomes, cost efficiency, and responsible AI practices.

Trustworthy Data

Quality checks, lineage, and ownership so teams can rely on data with confidence.

Modern Lakehouse

Scalable storage and compute patterns for batch and streaming workloads.

Responsible AI

Evaluated models with privacy, bias, and safety guardrails built‑in.

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Core Data Engineer

Build resilient, observable pipelines and governed data models for analytics at scale.

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Data Engineer

Ingest, transform, and publish clean datasets with ELT best practices and tests.

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Web Analytics Data Specialist

Implement analytics, unify customer data, and surface insights to grow conversion.

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AI Engineer

Ship AI responsibly with evaluated models, MLOps, and user‑centric integrations.

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