Senior Data Engineer | Offshore

Key Responsibilities 

• 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 

Must-Have Skills 

• 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