2 months ago
Manila, PhilippinesMid Level
Responsibilities
- Design, build, and operate batch and incremental Databricks pipelines using Delta Lake, Unity Catalog, Databricks Workflows, PySpark, and SQL.
- Ingest and standardize data from enterprise systems, SaaS platforms, files, and APIs, applying data-quality checks and business rules to create certified, well-modeled tables.
- Write and optimize SQL and Python for large-table performance, incremental processing, merge patterns, and cost efficiency.
- Implement monitoring, alerting, runbooks, rerun procedures, incident handling, root-cause analysis, and tested recovery paths for production pipelines.
- Participate in code reviews, version control, CI/CD, and production promotion with the Platform team, while documenting systems for ongoing operation and extension.
- Partner with analysts, data scientists, Data Architecture, Data Governance, and Data Steward stakeholders to translate requirements into pipeline designs and follow data-handling rules.
- Use approved AI-assisted development tools, including Databricks Genie, Claude Code, and Cursor, with careful review of generated code.
- Contribute to team standards and help onboard and mentor teammates.
Requirements
- Databricks Certified Data Engineer Associate or Professional credential.
- At least 3 years of hands-on production Databricks experience with Delta Lake, Unity Catalog, Workflows, PySpark, and Databricks SQL.
- Strong SQL skills, including window functions, incremental and merge patterns, and performance tuning on large tables.
- Python data-engineering experience with PySpark or pandas, API integration, and file processing.
- Experience operating production pipelines, including monitoring, incident handling, root-cause analysis, and documentation.
- Clear, concise communication; effective collaboration across sites and time zones; willingness to participate in code review and share knowledge.
- Attention to data quality and comfort working within regulated-environment privacy, access, and change-control requirements.
- Preferred experience with Salesforce, Salesforce Marketing Cloud, web analytics, marketing or customer data sources, dimensional modeling frameworks, data-quality tooling, metric or semantic layers, entity matching, master-data concepts, or regulated financial services.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
About Axos Bank
Axos Bank is a digital-first, publicly traded bank (NYSE: AX) offering consumer and business banking, lending, and wealth services, including checking and savings accounts, mortgages, auto and personal loans, and CDs. Founded in 2000 and headquartered in San Diego, it also provides securities clearing and custody through Axos Clearing for broker-dealers and RIAs, with revenue driven by interest income and fees across its nationwide online platform.