Growth Acceleration Partners

Senior Data Engineer

Growth Acceleration Partners

full-time

Posted on:

Origin:  • 🇨🇴 Colombia

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSAzureCloudETLGoogle Cloud PlatformGraphQLGRPCHadoopJavaJenkinsPythonSQLTableau

About the role

  • Design, build, and maintain scalable and high-quality data solutions
  • Optimize data pipelines and ensure data quality
  • Enable advanced analytics and AI/ML initiatives through reliable data infrastructure
  • Shape data strategy and contribute to architectural decisions
  • Mentor peers and support the growth of other engineers
  • Collaborate with cross-functional teams to deliver data-driven solutions

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field
  • 5+ years of experience working with data engineering technologies in production environments
  • Advanced English proficiency (written and spoken)
  • Strong communication and collaboration abilities
  • Excellent time management and organizational skills
  • Ability to mentor and support other engineers
  • Strong understanding of data fundamentals (ETL, transformations, data cleaning, EDA, compliance)
  • Proficiency with SQL and experience across database systems
  • Hands-on experience with Big Data technologies such as Hadoop, Snowflake, Storm, Redshift
  • Knowledge of data storage solutions (Data Lakes, Data Warehouses, Data Lakehouses, Blob Storage)
  • Proficiency in Python, R, Java, or C# for data engineering tasks
  • Familiarity with APIs (REST, gRPC, GraphQL) for data integration
  • Experience with CI/CD tools (GitHub Actions, Jenkins) and version control systems (Git, GitHub, GitLab)
  • Skilled in data testing (querying, validation, integrity checks)
  • Experience with data visualization tools such as Power BI or Tableau
  • Strong background in cloud platforms (AWS, Azure, GCP) and their data services
  • Understanding of security and compliance practices (e.g., OWASP, OAuth)
  • Familiarity with Agile methodologies (Scrum, Kanban)
  • Open to continuous learning and adopting emerging technologies
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