Data Analyst — Data Validation Specialist

3 weeks ago

Manila, Philippines ERNI Full time

Data Analyst — Data Validation Specialist ERNI Manila, National Capital Region, Philippines Overview Data 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. Qualifications 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 How you can contribute to the team 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. Location & Company ERNI has 18 locations in 8 countries, 800+ employees, and ISO certification. Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at ERNI by 2x #J-18808-Ljbffr

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