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Data Warehouse Engineer
Software Mind. Analyze, process, and interpret large datasets to generate actionable insights .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing and processing large datasets to derive actionable insights, with strong proficiency in SQL and experience in cloud-based solutions and data warehouses. Familiarity with data visualization tools and the Data Lakehouse approach enhances the ability to design effective data models.
Highest-signal resume keywords
SQL ProficiencyData Warehouse ExperienceSnowflake ExperienceCloud-Based SolutionsData Visualization Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData WarehouseData TransformationData AnalysisData LakehouseAnalytical QueriesVersion Control (Git)Data IngestionData ModelingData Processing
Soft Skills
Analytical SkillsProblem-SolvingCommunicationCollaborationProactive Learning
Tools & Technologies
SnowflakeDbtAWS (MWAA, Lambda, SQS, SNS, S3)Power BILooker
Industry Keywords
Media IndustryAdvertising Industry
Tech Stack
Tools & technologiesAWSCloudSQL
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
Requirements
What you’ll need- Commercial experience with cloud-based solutions (at least 1 year)
- Commercial experience with data warehouses (at least 2 years)
- Experience with Snowflake
- Strong proficiency in SQL, including complex analytical queries and data transformations
- Understanding of the Data Lakehouse approach
- Experience with source version control systems (Git)
- Excellent analytical and problem-solving skills
- A proactive, open-minded approach to challenges and learning new technologies
- Strong communication and collaboration skills
- Experience with dbt and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is a plus
- Experience with data visualization and BI tools such as Power BI or Looker is a plus
- Experience in the media or advertising industry is not required
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