Data Engineer

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