13 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Data Management Engineer - Mid
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Data Management Engineer - Mid (SQL/Python/Power BI): Maintaining and improving actuarial data assets, ETL pipelines, reporting platforms, and automation solutions with an accent on production support, data quality, and business intelligence. Focus on troubleshooting failed jobs, reconciling data across systems, optimizing SQL and Snowflake processes, and automating recurring operational activities.
Location: Manila, Philippines
Company
provides insurance and financial services, with a culture focused on collaboration, expertise, and innovation.
What you will do
- Monitor and maintain datasets, ETL processes, reporting platforms, and reconciliation solutions.
- Troubleshoot failed jobs, data discrepancies, defects, and performance bottlenecks.
- Validate releases and monitor data processes after deployment.
- Automate recurring operational activities and productionize reporting workflows.
- Maintain and enhance Power BI reports and dashboards while supporting business users.
- Optimize SQL queries, transformations, Snowflake structures, and data movement processes.
Requirements
- 2β3+ years of data or software engineering experience.
- Strong experience with SQL, Python, relational databases, and data manipulation for analytics.
- Experience investigating data quality issues, reconciling multiple source systems, and identifying root causes through SQL-based analysis.
- Familiarity with Power BI reporting and visualization customization.
- Experience with Visual Studio, VS Code, or an equivalent development platform.
- Bachelorβs degree in Computer Science, Information Technology, Data Analytics, Management Information Systems, or an equivalent field.
Nice to have
- Experience with Streamlit applications.
Culture & Benefits
- Full-time role in a highly collaborative, fast-paced environment.
- Work with business users and data management leadership on business-critical solutions.
- Opportunity to improve operational efficiency and reduce manual effort through automation.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β