
Senior Data Workflow Engineer
3 days ago
Job Title: Data Operations Specialist
Key Responsibilities:- Data Pipeline Development: Develop, design, and maintain efficient data pipelines using Apache Airflow, Python, and SQL/PLSQL.
- Workflow Optimization: Optimize data workflows for ETL, data cleaning, and transformation across multiple data sources and targets.
- Collaboration with Architect: Collaborate with the architect to evaluate design options and build scalable, high-quality solutions.
- Data Administration: Perform data administration tasks including scripting (PowerShell), database health checks, and optimization.
- Communication: Work closely with stakeholders to understand analytical requirements and translate them into data solutions.
- Integration: Support data warehouse integration, Qlik dashboards, and associated backend components.
- Troubleshooting: Conduct root cause analysis and troubleshoot across the entire data flow (ETL to UI).
- Coding Standards: Ensure adherence to coding standards, best practices, and QA guidelines.
- Issue Identification: 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.
Desirable Skills:
- Exposure to Qlik (QlikView/Qlik Sense) or other Business Intelligence 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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