We are seeking an experienced Data Engineer with strong expertise in Ab Initio and Amazon Redshift / PostgreSQL to design build and optimize high-performance data solutions within the financial services and banking environment. The ideal candidate is passionate about data integrity scalability and delivering trusted data for analytics reporting and regulatory needs.
Key Responsibilities
- Design develop and maintain Ab Initio ETL/ELT pipelines for large-scale enterprise data platforms
- Build and optimize data models and transformations in Amazon Redshift and PostgreSQL
- Ensure high data quality accuracy and consistency across banking data domains
- Collaborate with business analysts data architects and stakeholders to translate requirements into technical solutions
- Optimize query performance data loading processes and storage strategies
- Support regulatory risk compliance and reporting use cases
- Monitor troubleshoot and resolve data pipeline and performance issues
- Adhere to data governance security and banking compliance standards
Required Skills & Experience
- 5 years experience as a Data Engineer (financial services or banking preferred)
- Strong hands-on experience with Ab Initio (GDE Co>Operating System metadata performance tuning)
- Advanced expertise in Amazon Redshift and PostgreSQL (SQL optimization indexing schema design)
- Solid understanding of data warehousing concepts ETL/ELT patterns and dimensional modeling
- Experience working with large complex datasets in enterprise environments
- Familiarity with banking data domains (transactions customers risk finance compliance)
- Strong problem-solving and analytical skills
Nice to Have:
- Experience with AWS ecosystem (S3 Glue Lambda IAM)
- Exposure to data governance lineage and metadata management tools
- Knowledge of Python or shell scripting
- Experience in Agile / DevOps data environments
What We Offer
- Opportunity to work on mission-critical banking data platforms
- Collaborative high-impact data engineering environment
- Competitive salary and benefits
- Career growth within a leading financial services organization
Required Experience:
IC
We are seeking an experienced Data Engineer with strong expertise in Ab Initio and Amazon Redshift / PostgreSQL to design build and optimize high-performance data solutions within the financial services and banking environment. The ideal candidate is passionate about data integrity scalability and d...
We are seeking an experienced Data Engineer with strong expertise in Ab Initio and Amazon Redshift / PostgreSQL to design build and optimize high-performance data solutions within the financial services and banking environment. The ideal candidate is passionate about data integrity scalability and delivering trusted data for analytics reporting and regulatory needs.
Key Responsibilities
- Design develop and maintain Ab Initio ETL/ELT pipelines for large-scale enterprise data platforms
- Build and optimize data models and transformations in Amazon Redshift and PostgreSQL
- Ensure high data quality accuracy and consistency across banking data domains
- Collaborate with business analysts data architects and stakeholders to translate requirements into technical solutions
- Optimize query performance data loading processes and storage strategies
- Support regulatory risk compliance and reporting use cases
- Monitor troubleshoot and resolve data pipeline and performance issues
- Adhere to data governance security and banking compliance standards
Required Skills & Experience
- 5 years experience as a Data Engineer (financial services or banking preferred)
- Strong hands-on experience with Ab Initio (GDE Co>Operating System metadata performance tuning)
- Advanced expertise in Amazon Redshift and PostgreSQL (SQL optimization indexing schema design)
- Solid understanding of data warehousing concepts ETL/ELT patterns and dimensional modeling
- Experience working with large complex datasets in enterprise environments
- Familiarity with banking data domains (transactions customers risk finance compliance)
- Strong problem-solving and analytical skills
Nice to Have:
- Experience with AWS ecosystem (S3 Glue Lambda IAM)
- Exposure to data governance lineage and metadata management tools
- Knowledge of Python or shell scripting
- Experience in Agile / DevOps data environments
What We Offer
- Opportunity to work on mission-critical banking data platforms
- Collaborative high-impact data engineering environment
- Competitive salary and benefits
- Career growth within a leading financial services organization
Required Experience:
IC
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