Data Engineer (Part-Time)

Maneuver MarketingRemote - Singapore+ Equity1w ago

Remote Senior APAC E-commerce Oil & Gas Data Engineer Knowledge Transfer Documentation Shopify Fivetran SQL

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Requirements

Skills needed: Data reliability monitoring, proactive validation, root cause analysis for pipeline failures.
Years of experience: Not explicitly stated.
Education: Not explicitly stated.
Certifications: None mentioned in the job posting.
Must-haves: Flexible schedule with availability during Singapore business hours (9 AM – 6 PM SGT), ability to respond within specified time frames for different priority levels, experience or knowledge of Google BigQuery and Daton ETL tools, familiarity with BI activation platforms like Looker, Qlik, Segment.
Knowledge of source systems: Experience working with multiple eCommerce platforms such as Shopify, GA4, Meta Ads, etc., is implied but not explicitly stated in the job requirements.

Responsibilities

Data Reliability & Pipeline Monitoring
Ensure data pipelines run reliably and data is fresh, accurate, and available as expected.
Monitor, build, and respond to Daton pipeline notifications and alerts
Track data latency, freshness, and completeness across all source systems
Design, build, and maintain QC processors for all source data and custom reports
Monitor job execution, investigate failures, and perform root cause analysis at:
QC / validation level
API / source system level
Create and enhance data pipelines, onboard new platform integrations, and implement logic changes to existing pipelines
Coordinate with source system owners and vendors when issues originate upstream
Monitor alerts from source systems and custom reports
Ensure overall data reliability through proactive monitoring and validation
Optimize query performance and warehouse costs
Maintain documentation for all logic, schema, and pipeline changes, with a continuously updated change log
Data Quality & Validation
Implement and maintain automated data quality checks (source + reports) to build trust and confidence in data across the organization.
Key Activities:
Monitor and respond to data quality and test failures
Implement automated validation checks, including:
Duplicate detection
Range and boundary checks
Valid value checks
Referential integrity checks
Implement business-logic validations for key KPIs
Perform daily validation of critical metrics against source UIs (Shopify, GA4, Meta, Klaviyo, Google Ads, Loop, etc.)
Ensure KPI consistency across raw, transformed, and reporting layers
Implement anomaly detection for key tables and metrics
Cost Optimization
Optimize warehouse performance and manage costs proactively to ensure sustainable data operations.
Key Activities:
Monitor and respond to billing alerts for BigQuery, dbt, and ETL tools
Maintain cost monitoring dashboards
Implement and optimize table partitioning and clustering
Optimize incremental loads and expensive queries
Proactively flag high-cost queries via Slack
Query performance optimization (where applicable)
Source System Monitoring & (API) Integration Management
Proactively manage issues originating from upstream systems and maintain healthy integrations.
Key Activities:
Monitor and respond to source schema and data-type changes
Handle source delays caused by API limits, downtime, or auth failures
Coordinate with vendors and internal teams to resolve upstream issues
Assess business impact and classify incidents as P0/P1 when required
Security & Compliance
Ensure data access and handling align with regulatory requirements and security best practices.
Key Activities:
Maintain GDPR, CCPA, and related compliance controls
Manage RBAC and column-level security in BigQuery
Ensure PII masking and access restrictions
Respond to security incidents related to data access or credentials
Documentation & Change Management
Ensure operational continuity and knowledge transfer
Key Activities:
Maintain documentation for pipelines, tables, and business logic
Update test cases for logic or schema changes
Document incident RCA and resolutions
Maintain operational runbooks
Manage logic and schema change requests from business teams

Benefits

Equity options mentioned as part of the benefits package.
Paid Time Off (PTO) is included in the compensation details provided.
Insurance coverage for employees is a benefit offered by this job posting.
Perks are listed among the company's offerings to its team members, although specific perks aren't detailed here.
Remote work options seem available as part of the flexible schedule and real-time collaboration requirement during Singapore business hours (9:00 AM – 6:00 PM SGT).