Data Service Engineer

We are looking for a highly responsible and proactive Data Service Engineer to ensure smooth operations across the company’s data ecosystem. This role plays a critical part in monitoring data workflows, resolving operational issues, supporting business users with data-related inquiries, and collaborating across multiple technical and business teams. The ideal candidate is detail-oriented, service-minded, and capable of working in a fast-paced, cross-functional environment.

Key Responsibilities

• Monitor and manage data ingestion and ETL processes from various sources.
• Continuously improve data operational processes and suggest solutions to recurring issues.
• Write SQL queries to extract, validate, and manipulate data from databases.
• Handle incident tickets and coordinate resolution by escalating to relevant domain teams.
• Support business users by assisting with data extraction, validation, and ad hoc requests.
• Investigate and resolve data-related issues or anomalies in collaboration with relevant teams.
• Proactively report daily incidents and operation summaries to the team.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
• Strong SQL skills and familiarity with relational databases.
• Solid understanding of data lifecycle, data quality principles, and operational workflows.
• Excellent attention to detail and analytical thinking.
• Ability to communicate effectively with both technical and non-technical teams.
• Self-motivated, with strong problem-solving and time-management skills.
• Experience with ETL/ELT tools such as Azure Data Factory, Airflow, or Databricks.
• Familiarity with cloud platforms (Azure, AWS) and data lakes/warehouses.
• Experience with monitoring or visualization tools (Power BI).
• Knowledge of scripting languages (e.g., Python) for automation or data manipulation.