Finding the best job has never been easier
Apple Sales - Technical Data Analyst Singapore 758004737
Today
Share
- Act as a primary point of contact for production support of our business data systems and ETL pipelines.
- Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
- Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
- Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
- Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
- Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
- Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
- 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
- BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
- Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
- A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
- Proficiency in advanced SQL, including performance tuning and writing complex queries.
- Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
- Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
- Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
- Familiarity with version control systems (Git) and CI/CD practices.
- Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
- Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
- Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
These jobs might be a good fit
