Senior Data Workflow Engineer

3 days ago


Hyderabad, Telangana, India beBeeDataOperations Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

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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