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Data Engineering

We staff data engineers to build and operate pipelines, warehouses and transformation jobs on the cloud platform and tools your stack already uses.

  • 01

    GCP

    We build data pipelines and infrastructure on Google Cloud, using services such as BigQuery, Dataflow and Cloud Storage for ingestion and transformation.
  • 02

    AWS

    We build data pipelines and infrastructure on AWS, using services such as Glue, Redshift and S3 for ingestion, transformation and storage.
  • 03

    Azure

    We build data pipelines and infrastructure on Azure, using services such as Data Factory, Synapse and Blob Storage for ingestion and transformation.
  • 04

    ETL

    We design and build ETL jobs that extract, transform and load data between source systems and your warehouse or analytics store.
  • 05

    Talend

    We build and maintain data integration jobs in Talend, covering source connections, transformation logic and scheduled loads into target systems.
  • 06

    Big Data

    We build and operate big data pipelines using tools such as Spark and Hadoop for processing high-volume datasets at scale.
  • 07

    Snowflake

    We design Snowflake schemas and build data loading pipelines, covering warehouse setup, transformation jobs and query performance tuning.

Need a team for your stack?

Tell us what you are working on and we will come back with a plan, not a pitch.