Senior Data Engineer / ETL Developer

Key Responsibilities Build and maintain scalable batch and near real-time data pipelines Develop ETL solutions using Ab Initio, Python, PySpark, SQL and PL/SQL Review technical designs and convert solution blueprints into reusable code Integrate, cleanse, normalize, and transform data from multiple mortgage-related systems Partner with Product Owners, Architects, Engineers, and business stakeholders Support migration and modernization initiatives from legacy platforms to Google Cloud Build, schedule, orchestrate, and deploy solutions through enterprise CI/CD pipelines Support monitoring, operational excellence, root cause analysis, and production reliability Required Qualifications 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education4+ years PL/SQL and SQL skills with proven experience in Oracle, Teradata, Python and/or BigQuery: complex query development, tuning, and debugging.4+ years Ab Initio skills with proven experience to build complex graphs, Psets, performance tuning.3+ years programming skills in Python; hands-on PySpark for distributed data processing 3+ years of ETL/ETL design, data warehousing concepts, and data modeling best practicesDesired QualificationsFinancial Services or Mortgage industry experience Production operations experience: monitoring, SLAs, incident response, root cause analysis, and performance optimization. Experience working in hybrid environments (on-prem + cloud) and supporting data migration/modernization initiatives.Experience with scheduling/orchestration in Autosys and Airflow-based orchestration (Cloud Composer direction).Experience with Git-based workflows, code reviews, and automated testing practices for data pipelines.Experience with Harness, Jenkins and uDeploy based CICD environments.Practical experience using AI-assisted coding tools in daily development to improve productivity without compromising quality or security.Ab Initio development/maintenance experience and/or hands-on migration of Ab Initio graphs to modern Spark/SQL patterns.Experience with Dataplex and broader data governance concepts (metadata, classification, stewardship, lineage practices).Experience with Informatica Data Quality implementation patterns (profiling, rules, scorecards/metrics, exception workflows).Experience designing near real-time patterns (micro-batch/event-driven concepts) and handling late-arriving/out-of-order data.Familiarity with GCP operational practices for data workloads (service accounts/IAM basics, job monitoring, quota/cost controls). Skills: python,data,sql,skills,concepts,bigquery,etl,pipelines,cloud,teradata sql,ab initio