Data Integration Engineer
About the role
- Work on Engineering and development focused projects from start to finish.
- Provide technical and operational support for our customer base as well as other technical areas within the company.
- Review and supervise the system design and architecture.
- Interact with stakeholder to understand requirements and provide solutions.
- Risk management functions such as reconciliation of vulnerabilities, security baselines as well as other risk and audit related objectives.
- Refine and prioritize the backlog for the team in partnership with product management.
- Responsible for employee engagement, growth and appraisals.
- Participate in user training to increase awareness of the platform.
- Ensure incident, problem and change tickets are addressed in a timely fashion, as well as escalating technical and managerial issues.
- Ensure quality and consistency of data from source systems and align with data product managers on facilitating resolution of these issues in a consistent manner.
- Follow DTCC's ITIL process for incident, change and problem resolutionNOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications:
- Minimum of 4 years of related experience
- Bachelor's degree preferred and/or equivalent experience
- Talents Needed for Success:
- Minimum 5+ years of experience in Data Management, with deep expertise in analytical data warehousing and enterprise-scale data platforms, leading complex data initiatives end to end.
- Minimum 2+ years of hands-on experience with Snowflake Cloud Data Warehouse, including advanced features and performance optimization for large, concurrent analytics workloads.
- Strong expertise in AWS cloud architecture, with hands-on experience designing and supporting scalable, secure, and cost?efficient data solutions using core AWS services.
- Develop complex SQL and PL/SQL procedures to support robust, high?performance data integration and transformation frameworks.
- Provide solutions using Snowflake services such as Snowpark, Streams, Tasks, and Snowpipe to build real?time and batch data integration solutions in an AWS ecosystem.
- Drive data architecture decisions by applying strong knowledge of logical and physical data models, enabling analytics, reporting, and business intelligence at scale.
- Lead the development of dimensional models, including slowly changing dimensions (SCDs) and various fact table designs, aligned with analytics and reporting best practices.
- Support unit testing, system integration testing, and UAT, and ensuring production?ready data solutions.
- Expertise in SQL performance tuning, proactive monitoring, root cause analysis, and resolution of complex data pipeline and platform issues.
- Act as a developer within Agile delivery teams, contributing to sprint planning, story design, estimation, and documentation using Jira.
- Demonstrate strong verbal and written communication skills, effectively collaborating with architects, product owners, business stakeholders, and cross?functional technology teams.
Before you apply
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Your profile is current
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A number in mind
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Your notice period
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Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
