Job Description
Role:
Senior Data Engineer Location:
[Location(s) / Remote] Boston, MA (Hybrid) Employment Type:
[Full-time /Contract] Contract Duration:
6 months Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model" . With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries. With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence - RevolutionAIzing Transformations. Role Overview We are looking for a Senior Data Engineer with strong expertise in Enterprise Data Management (EDM) platforms to design, build, and support scalable data systems. This role involves hands-on development, data integration, and collaboration with cross-functional teams to ensure high-quality, reliable data pipelines for analytics and downstream systems. The ideal candidate will bring deep experience in data engineering, ETL/ELT, SQL, and EDM systems (such as Markit EDM) along with strong problem-solving skills and a collaborative mindset. Key Responsibilities Design, develop, maintain, and support data management workflows, data models, and integration processes. Configure and support data ingestion, validation, enrichment, matching, and distribution processes within the enterprise data management system. Support reporting, analytics, and downstream data integration processes connected to the EDM platform. Build and maintain scalable ETL/ELT pipelines for market, reference, and transactional data. Integrate data from internal and external vendors, APIs, flat files, and enterprise applications. Implement data quality checks, reconciliations, exception handling, and monitoring processes. Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model. Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards. Ideal Candidate Profile Hands-on experience supporting and developing solutions within Markit EDM or other data management systems. Overall 9+ years of experience in data engineering, building and maintaining scalable data platforms and pipelines. Advanced proficiency in SQL with expertise in data modeling and data warehousing concepts. Experience working with market data, reference data, or financial services data platforms. Proficiency in Python for data processing, automation, and integration. Experience troubleshooting complex production data issues. Strong communication and stakeholder management skills. Key Skills:
Markit EDM Data Engineering SQL Python Education:
Bachelor s degree in Computer Science, Engineering, Information Systems, or equivalent experience
