
Data Analyst — Data Validation Specialist
4 weeks ago
Data Analyst — Data Validation Specialist
ERNI Manila, National Capital Region, Philippines
OverviewData Analyst — Data Validation Specialist position at ERNI in Manila, Philippines.
Core Duties- Validation Framework Design – Define data-quality rules, test cases, and acceptance criteria for migrated and incremental loads in Databricks.
- Automated Testing – Build PySpark/SQL tests and Great Expectations (or dbt tests) notebooks; schedule them with ADF pipelines and alerts.
- Issue Triage & Resolution – Diagnose defects, work with data engineers to remediate and re-run pipelines, and verify fixes in lower and prod tiers.
- Monitoring & Alerting – Create quality dashboards and SLA monitors in Power BI and Databricks SQL, surfacing metrics like freshness, nulls, and schema drift.
- Standards & Documentation – Maintain validation playbooks, data dictionaries, and quality KPIs; evangelize best practices across migration squads.
Experience
3–5 yrs data-quality / validation work, incl. at least 1 Azure lakehouse or migration project
Platforms & Tools
Azure Databricks (PySpark, Delta Lake)
- Azure Data Factory
- Great Expectations / dbt tests
Coding & Querying
Advanced SQL
- Python for data testing & automation
Analytics & Viz
Power BI (or Tableau) to publish quality dashboards
Methodology
Deep grasp of data-quality dimensions & root-cause analysis; CI/CD for data tests
Soft Skills
Meticulous, proactive communicator, strong stakeholder management
Nice-to-Have
Azure Synapse or Fabric
- Kafka/Event Hub ingestion
- Data catalog tools (Purview, Collibra)
- Regulatory / audit exposure
- Agile/Scrum
- Validation Framework Design – Define data-quality rules, test cases, and acceptance criteria for migrated and incremental loads in Databricks.
- Automated Testing – Build PySpark/SQL tests and Great Expectations (or dbt tests) notebooks; schedule them with ADF pipelines and alerts.
- Issue Triage & Resolution – Diagnose defects, work with data engineers to remediate and re-run pipelines, and verify fixes in lower & prod tiers.
- Monitoring & Alerting – Create quality dashboards and SLA monitors in Power BI and Databricks SQL, surfacing metrics like freshness, nulls, and schema drift.
- Standards & Documentation – Maintain validation playbooks, data dictionaries, and quality KPIs; evangelize best practices across migration squads.
ERNI has 18 locations in 8 countries, 800+ employees, and ISO certification.
Seniority level- Mid-Senior level
- Contract
- Information Technology
- IT Services and IT Consulting
Referrals increase your chances of interviewing at ERNI by 2x
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