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Software Mind

Data Warehouse Engineer

Software Mind

. Analyze, process, and interpret large datasets to generate actionable insights .

Posted 9/18/2026full-timeRemote • Poland, RomaniaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in analyzing and processing large datasets to derive actionable insights, with expertise in SQL and data warehouse design. Experienced in cloud-based solutions and collaborative engineering environments, leveraging tools like Snowflake and AWS for data transformation and visualization.

Highest-signal resume keywords
SQL ProficiencyData Warehouse DesignCloud-Based SolutionsData Lakehouse UnderstandingData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData WarehouseData TransformationData AnalysisData LakehouseVersion Control (Git)Data VisualizationBI ToolsAnalytical QueriesProblem-Solving
Soft Skills
Analytical SkillsCommunication SkillsCollaboration SkillsProactive ApproachOpen-Mindedness
Tools & Technologies
SnowflakeDbtAWS (MWAA, Lambda, SQS, SNS, S3)Power BILooker
Industry Keywords
Cloud SolutionsData EngineeringCross-Functional TeamsEmerging TechnologiesTransformative Projects

Tech Stack

Tools & technologies
AWSCloudSQL

About the role

Key responsibilities & impact
  • Analyze, process, and interpret large datasets to generate actionable insights
  • Develop and maintain ingestion and transformation processes
  • Design data warehouse models
  • Work on transformative projects and emerging technologies for global companies
  • Collaborate within cross-functional engineering teams

Requirements

What you’ll need
  • Commercial experience with cloud-based solutions (at least 2 years)
  • Commercial experience with data warehouses (at least 1 year)
  • Strong proficiency in SQL, including complex analytical queries and data transformations
  • Understanding of the Data Lakehouse approach
  • Experience with source version control systems (Git)
  • Familiarity with Snowflake, dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is an advantage
  • Experience with data visualization and BI tools such as Power BI or Looker is a plus
  • Excellent analytical and problem-solving skills
  • A proactive, open-minded approach to challenges and learning new technologies
  • Strong communication and collaboration skills

Benefits

Comp & perks
  • Flexible and remote cooperation options
  • International projects with leading global clients
  • Travels related to international projects
  • Non-corporate atmosphere
  • Access to language classes
  • Access to knowledge-sharing initiatives
  • Access to private healthcare and life insurance
  • Access to multisport card
  • Availability and terms of individual benefits may vary depending on the chosen form of cooperation