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Data Steward
Data StewardEvolution Cloud Services (EVOCS) • Denver, CO, United States
Data Steward

Data Steward

Evolution Cloud Services (EVOCS) • Denver, CO, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

At EVOCS, our journey began with a mission to empower businesses with the right technology solutions. Founded by a team of passionate experts, we have grown into a trusted partner for organizations seeking innovative and comprehensive tech services. Our roots in employee‑managed operations reflect our commitment to quality, consistency, and client success.

Through our devotion to growing and providing the highest quality services, we have adapted to changing client needs. Our repertoire expanded from utilizing the finest Technologies to becoming comprehensive, trusted IT partners.

MPACT AT EVOCS

We are seeking a versatile data professional to help ensure the accuracy, accessibility, and governance of critical data assets. This role partners closely with engineering, operations, and compliance teams to define data standards, maintain metadata, and ensure responsible data lifecycle management. The ideal candidate combines strong analytical skills with a deep understanding of cloud data ecosystems and enterprise data governance practices.

WHAT YOU WILL DO

Data Engineering

  • Design and maintain data pipelines (ETL / ELT).
  • Build and optimize data warehouses / lakehouses.
  • Ensure data quality, governance, and security.
  • Work with cloud platforms (Azure, AWS, GCP) and tools like Databricks, Fabric, Snowflake.
  • Implement Data Vault or Dimensional models for analytics.

Data Analyst

  • Query and analyze data using SQL, Python, or BI tools.
  • Create dashboards and reports in Power BI, Tableau, or similar.
  • Perform data profiling, trend analysis, and KPI reporting.
  • Communicate insights to stakeholders for decision-making.
  • ____________________________________________________________________________

    WHAT YOU WILL BRING

  • Strong proficiency in Python , SQL
  • Experience with data modeling tools ( Star Schema , Data Vault )
  • Experience with ETL tools ( Azure Data Factory , DBT )
  • Familiarity with BI and visualization tools ( Power BI , Tableau )
  • Cloud & Storage experience ( Azure Synapse , AWS Redshift )
  • Ability to translate data into actionable insights
  • Ideally you have…

  • Bachelor’s or Master’s in Computer Science, Data Science, or related field.
  • Experience with big data technologies (Spark, Hadoop).
  • Experience with Azure Purview, Microsoft Fabric
  • Strong communication and stakeholder management skills.
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