Qureos

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Data Engineer

About the Role
We're looking for an early-career Data Engineer to help build and maintain the cloud data platforms that power analytics, BI, and AI/ML for our clients. You'll work alongside senior engineers and consultants to move raw, fragmented data into clean, reliable, query-ready form on Snowflake — supporting everything from customer-360 dashboards to real-time decision-making.
Key Responsibilities
  • Build, test, and maintain ELT/ETL pipelines using Matillion and Fivetran to ingest data from databases, APIs, files, and SaaS sources into Snowflake.
  • Develop and maintain SSIS ETL packages and jobs for data integration and scheduled workloads.
  • Develop and optimize data models and SQL transformations in Snowflake for analytics and reporting use cases.
  • Work with AWS, including managing data in S3 (staging, ingestion, and storage).
  • Write clean, reusable Python for data processing, automation, and pipeline logic.
  • Support data quality, validation, and monitoring so downstream BI (Power BI/Tableau) and ML teams can trust the data.
  • Track and manage work through Jira workflows; partner with analysts and client stakeholders to translate business questions into data requirements.
  • Document pipelines, data definitions, and processes.
Must-Have Skills
  • 1–3 years of hands-on experience in data engineering, BI engineering, or a closely related role.
  • Strong SQL and solid working knowledge of Python.
  • Hands-on experience with Snowflake.
  • Experience building pipelines with Matillion and/or Fivetran (ELT), and developing SSIS packages and jobs (ETL).
  • Working knowledge of AWS, including S3.
  • Understanding of data warehousing concepts, ETL/ELT, and dimensional modeling.
  • Familiarity with version control (Git) and Jira workflows.
Good to Have
  • Experience integrating Salesforce data via Fivetran.
  • Exposure to Databricks, Redshift, or Synapse.
  • Experience with BI tools (Power BI, Tableau).
  • Exposure to data for AI/ML workflows.
What We Look For
Curiosity, ownership, and a problem-solving mindset; comfort working in a consulting/client-delivery environment; clear communication and a willingness to learn fast.

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