Data Engineer

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Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

• Develop and document database architectures.
• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.
• Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.
• Design databases to support business applications, ensuring system scalability, security, performance, and reliability.
• Develop data models for applications, metadata tables, views or related database structures.
• Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure.
• Develop methods for integrating different products so they work properly together, such as customizing commercial databases to fit specific needs.
• Create and enforce database development standards.

O*NET source

Role overview (listing rewrite)

Stratpoint seeks a remote Data Engineer connected to Mandaluyong, Metro Manila, Philippines for a full-time position focused on robust data infrastructure. This opportunity lets you shape high-performing data systems while contributing to projects that support business insights across agile teams. What This Role Involves As a remote Data Engineer at Stratpoint serving Mandaluyong, Metro Manila, Philippines, you establish clear standards and methods that speed up reliable software handovers and elevate overall results. Collaboration with multiple groups helps you review and capture business needs alongside data structures, plus evaluate available platforms so spending stays efficient and systems run smoothly. Key Responsibilities Create and implement data pipelines that pull information from various source systems straight into the data warehouse Maintain and refine running pipelines so all downstream service level agreements remain fully satisfied Join agile ceremonies under the Agile Tribe model and address tribe requests for warehouse data ingestions Uphold accuracy and integrity of every table stored inside the data warehouse Apply data engineering practices that cover version tracking, clear code, feature delivery, future expansion, testing, releases, and after-release help Aid the L2 Data Operations group and step in as L3 support when needed Administer data storage volumes, compute capacity, and security controls within the warehouse environment Collect and translate data requirements that arise from tribe requests Step in to assist data engineers working in other tribes or domains whenever required Display strong technical command of the full data warehouse platform Resolve data problems for warehouse stakeholders and run thorough investigation sessions Prepare complete delivery documents such as data dictionaries, mapping records, and data models Continuously improve pipeline efficiency and contribution to project delivery plus daily operations support What We're Looking For Two to six years of hands-on experience delivering IT projects or building data solutions, especially around data warehousing or business intelligence A degree in computer science, information technology, or another closely related IT program Solid SQL and ETL development skills, ideally gained on data warehousing, business intelligence, or similar delivery initiatives Proven ability to tune data pipelines so they hit service level agreements while reducing expense Familiarity with big data…

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Questions to ask them

• What does success look like in the first 90 days for this role?
• How is the team structured, and who would I work with most?
• What tools and systems does this role use daily?
• Is the work primarily based in Mandaluyong, Metro Manila, Philippines, hybrid, or fully remote?