Senior Data Engineer (Hybrid)
Serigor Inc
Senior Data Engineer (Hybrid)
Location: Wilmington, DE / Berwyn, PA
Duration: 18 Months, quarterly increments
Job Description:
Senior Data Engineer to support a large-scale enterprise data modernization initiative focused on migrating critical banking and enterprise data assets into a centralized Snowflake platform. This strategic program will transform how data is organized, governed, and utilized across the organization, enabling improved analytics, reporting, data quality, and business decision-making.
The consultant will join a multi-year transformation effort focused on migrating approximately 30 enterprise data domains from legacy platforms into a modern cloud-based ecosystem. Working within an Agile environment, this individual will play a critical role in designing, engineering, testing, governing, and supporting enterprise data solutions that power the future state of data and analytics across the organization.
Key Responsibilities:
- Data Migration & Modernization
- Analyze source systems, legacy databases, and existing data architectures.
- Design and implement Snowflake database structures, schemas, and data models.
- Migrate enterprise data assets from multiple source systems into Snowflake.
- Build, enhance, and maintain ETL/ELT processes utilizing SSIS and related technologies.
- Develop data transformation logic to support reporting and analytics requirements.
- Validate data integrations and transformation accuracy.
- Data Engineering
- Design, develop, and maintain scalable data pipelines.
- Optimize data ingestion, transformation, and storage processes.
- Support Azure DevOps (ADO) CI/CD pipelines and deployment automation.
- Create reusable frameworks, standards, and methodologies for data movement and integration.
- Develop SQL and Python-based solutions to support enterprise data initiatives.
- Reporting & Analytics
- Develop reporting datasets and data marts.
- Support the creation of business intelligence and analytical solutions.
- Ensure consistency and accuracy between reports and source systems.
- Collaborate with business stakeholders to support reporting requirements.
- Data Governance & Data Quality
- Support enterprise data governance initiatives and best practices.
- Implement and maintain data retention policies.
- Improve data quality, consistency, lineage, and integrity.
- Assist with metadata management and governance programs.
- Support evaluation and implementation of governance platforms such as Microsoft Purview.
- Contribute to Master Data Management (MDM) initiatives.
- Quality Assurance & Testing
- Develop data testing strategies and quality assurance processes.
- Support reconciliation, data validation, and defect remediation activities.
- Participate in User Acceptance Testing (UAT) and QA cycles.
- Support deployment validation and production release activities.
- Operational Support
- Provide ongoing support for production data platforms and related processes.
- Troubleshoot performance issues, data failures, and platform incidents.
- Perform root cause analysis and implement corrective actions.
- Support quarterly release cycles and post-deployment activities.
- Assist with future migration and platform enhancement initiatives.
- Documentation & Knowledge Transfer
- Create and maintain technical documentation, including:
- Data mappings
- Source-to-target specifications
- ETL/ELT process documentation
- Data lineage documentation
- Architecture diagrams
- Operational procedures
- Conduct knowledge transfer sessions with internal teams.
- Promote engineering standards, documentation practices, and best practices.
Minimum Education and Experience:
- Degree and/or certifications required: NA (not specified by the client).
- 7+ years of experience in Data Engineering, Data Warehousing, or Data Management.
- Strong experience designing and developing solutions within Snowflake.
- Advanced SQL development skills.
- Experience with SSIS and enterprise ETL development.
- Experience building ELT/ETL pipelines and data integration solutions.
- Experience with Azure DevOps (ADO), CI/CD pipelines, and release management.
- Experience with data modeling, schema design, and database architecture.
- Knowledge of data governance, metadata management, and data quality frameworks.
- Experience supporting Agile software development methodologies.
Preferred Qualifications:
- Experience within financial services, banking, or regulated industries.
- Experience with Python scripting and automation.
- Experience with Microsoft Purview or similar data governance tools.
- Experience with Master Data Management (MDM) initiatives.
- Familiarity with enterprise data modernization and cloud migration programs.
- Understanding of source-to-target mapping and data lineage analysis.
Desired Experience:
- The ideal candidate will have experience providing senior-level consulting and engineering services across:
- Snowflake Database Design & Architecture
- Data Modeling & Schema Development
- Enterprise Data Migration
- Data Integration & ETL/ELT Development
- Azure DevOps Pipeline Development
- Data Governance Programs
- Data Quality Remediation
- Metadata & Lineage Management
- Agile Delivery & Release Management
- Business and Technical Requirements Analysis
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and stakeholder management skills.
- Ability to translate business requirements into technical solutions.
- Strong documentation and organizational skills.
- Ability to work independently while collaborating across multiple teams.
- Experience working with cross-functional business, analytics, QA, and engineering teams.
Skills:
Skill - Required/Desired - Amount - of Experience
Experience in Data Engineering, Data Warehousing, or Data Management. - Required - 7 - Years
Strong experience designing and developing solutions within Snowflake. - Required - Years
Advanced SQL development skills. - Required - Years
Experience with SSIS and enterprise ETL development. - Required - Years
Experience building ELT/ETL pipelines and data integration solutions. - Required - Years
Experience with Azure DevOps (ADO), CI/CD pipelines, and release management. - Required - Years
Experience with data modeling, schema design, and database architecture. - Required - Years
Knowledge of data governance, metadata management, and data quality frameworks. - Required - Years
Experience supporting Agile software development methodologies. - Required - Years
Experience within financial services, banking, or regulated industries. - Desired - Years
Experience with Python scripting and automation. - Desired - Years
Experience with Microsoft Purview or similar data governance tools. - Desired - Years
Experience with Master Data Management (MDM) initiatives. - Desired - Years
Familiarity with enterprise data modernization and cloud migration programs. - Desired - Years
Understanding of source-to-target mapping and data lineage analysis. - Desired
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