Data Engineer

3 weeks ago

Kannur, Kerala, India Garmin Technologies Full time

Key Responsibilities:

  • Develop, maintain, and troubleshoot data pipelines using Apache Airflow, Python, and SQL/PLSQL
  • Manage and optimize data workflows for ETL, data cleaning, and transformation across multiple data sources and targets
  • Collaborate with the architect to evaluate design options and build scalable, high-quality solutions
  • Perform data administration tasks including scripting (PowerShell), database health checks, and optimization
  • Work closely with stakeholders to understand analytical requirements and translate them into data solutions
  • Support data warehouse integration, Qlik dashboards, and associated backend components
  • Conduct root cause analysis and troubleshoot across the entire data flow (ETL to UI)
  • Ensure adherence to coding standards, best practices, and QA guidelines
  • Identify potential blockers early and proactively coordinate with cross-functional teams

Education, Experience and Skills Required:

  • Bachelor of Science Degree in Computer Science, Information Technology, Management Information Systems, Business or another relevant field AND a minimum of 3 years relevant experience OR equivalent combination of education and relevant experience
  • Fluency in English is required
  • Strong hands-on experience in Airflow and Python for orchestrating and developing data workflows
  • Proficiency in SQL and PL/SQL for querying and transforming data
  • Familiarity with Linux environments, PowerShell scripting, and Docker containers
  • Solid understanding of data administration tasks, including backups, permissions, schema updates, etc.
  • Experience in ETL development and data cleaning/validation

Nice to Have / Bonus Skills:

  • Exposure to Qlik (QlikView/Qlik Sense) or other BI tools
  • Experience working with Data Warehouses (Snowflake, Redshift, BigQuery, etc.)
  • Familiarity with Jupyter Notebook for exploratory data analysis or prototyping

Key Traits We're Looking For:

  • Proactive communicator who can engage with architects, stakeholders, and team members effectively
  • Detail-oriented problem solver who can troubleshoot end-to-end data flows
  • Self-driven and accountable—comfortable owning development deliverables
  • Able to see the big picture, not just code-level tasks

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