Senior Data Engineer | Offshore

• Assess existing SQL Server (Atlas) and Snowflake environments to identify pipeline gaps, data quality issues, and structural inefficiencies
• Build and maintain data pipelines supporting the Operational Data Store (ODS), including ingestion, transformation, and loading of key business entities
• Implement, version-control, and enforce data dictionary standards, logical/physical entity models, and naming conventions established by the Data Architect
• Design, implement, and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI) to automate the deployment of Snowflake schemas, database structures, and pipeline code
• Manage database schema migrations as code using tools such as dbt, Schemachange, Flyway, or Terraform
• Execute the batch-to-API migration roadmap — re-engineering Informatica/EDW batch flows to consume FDR APIs
• Implement automated data quality frameworks, testing validations (e.g., dbt tests, Great Expectations), and data parity reconciliation routines between legacy and new ODS environments
• Collaborate with domain teams to engineer pipelines for customer, loan, payment, and interaction data entities
• Apply Snowflake best practices in structuring schemas, managing compute, and separating analytical from operational workloads
• Partner with the internal data architect and downstream consumers to ensure data accuracy, lineage, and observability across the platform
• Leverage generative AI tools (e.g., coding assistants, LLMs) to accelerate pipeline development, optimize query performance, write documentation, and generate automated tests

• 7+ years in data engineering roles with a strong focus on pipeline development, CI/CD setup, and database modeling
• Strong programming skills in SQL (Sql Server and Postgres) and Python for data engineering, automation, and pipeline development
• Proficiency in Snowflake — including schema design, performance tuning, and data loading patterns
• Hands-on experience building DevOps/DataOps pipelines (Git, CI/CD tools, automated deployment strategies)
• Hands-on experience with database migration tools / schema management systems (e.g., dbt, Schemachange, Flyway)
• Hands-on experience with ETL/ELT tools and batch processing (Informatica experience strongly preferred)
• Solid understanding of ODS concepts, dimensional modeling, and managing data dictionaries
• Experience integrating with REST/API-based data sources as part of modernization or migration efforts
• Demonstrated experience using Generative AI coding assistants (e.g., Copilot, ChatGPT, Gemini) to enhance coding productivity, write tests, and troubleshoot complex SQL/Python scripts
• Background in financial services or lending domain

Nice to Have

• Experience with modern orchestrators (e.g., Apache Airflow, Prefect, Dagster) or Snowflake-native orchestration (Tasks, Dynamic Tables)
• Familiarity with deploying semantic layers or metadata-driven catalog systems (Collibra, Alation) to support downstream AI/ML and Natural Language query agents
• Experience working with FDR or similar loan servicing platforms
• Familiarity with data mesh principles and domain-oriented data ownership
• Exposure to AI/ML data pipeline requirements and feature engineering
• Experience with data governance and cataloguing tools (Collibra, Alation, etc.)
• Background in student lending or consumer finance