Capco
Financial Services
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Capco. Skills: Data Pipelines, Azure Data Services, Databricks, ETL/ELT. Design scalable data pipelines. Build scalable data pipelines”
What You'll Achieve.
Support analytics use cases; Support AI/ML use cases; Support business intelligence use cases; Deliver end-to-end data-driven solutions; Fast-track digital initiatives
Industry & Context.
Troubleshoot data issues
What They're Looking For.
Must Have
4+ years of experience in data engineering, Proficiency in SQL, Proficiency in Python, Hands-on experience with Azure Data Services, Hands-on experience with Databricks, Hands-on experience with Delta Lake, Experience building and maintaining ETL/ELT pipelines at scale, Familiarity with data modeling concepts, Familiarity with distributed data systems, Understanding of data governance, Understanding of data quality, Understanding of security practices, Proficient in Thai, Proficient in English
Nice to Have
Experience in banking, Experience in fintech, Experience in regulated industries, Knowledge of streaming technologies, Familiarity with CI/CD practices, Familiarity with infrastructure-as-code, Exposure to Unity Catalog, Exposure to Azure Purview, Experience working in Agile/Scrum environments
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Maintain scalable data pipelines
Build ETL/ELT workflows
Optimize ETL/ELT workflows
Implement Lakehouse architecture
Ensure data reliability
Ensure data availability
Support data governance
Support metadata management
Support lineage tracking
Ensure pipeline compliance
Monitor pipeline performance
Troubleshoot data issues
Deliver model-ready datasets
Participate in code reviews
Promote engineering best practices
How You'll Work.
Team & Collaboration
Collaborate with Data Architects; Work closely with Data Scientists; Work closely with Analysts; Participate in code reviews
Communication Scope
Technical discussions; Meetings; Written documentation
Process & Methodology
Agile/Scrum environments
Full Job Description
Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, AI/ML, and business intelligence use cases for BankX's digital banking platform. What You’ll Do Design, develop, and maintain scalable data pipelines for batch and real-time data processing. Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows. Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture. Ensure data quality, reliability, and availability across all data products. Collaborate with Data Architects to implement data models and architecture standards. Support data governance, metadata management, and lineage tracking. Ensure pipelines comply with PDPA, data classification, and security requirements. Monitor pipeline performance and troubleshoot data issues in production environments. Work closely with Data Scientists and Analysts to deliver model-ready datasets. Participate in code reviews and promote engineering best practices. What We’re Looking For 4+ years of experience in data engineering or related roles. Strong proficiency in SQL and Python for data transformation and processing. Hands-on experience with Azure Data Services, Databricks, and Delta Lake.
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