Lead Data Integration Engineer
DTCC Enterprise Services India Private LimitedJob Description
Lead Data Integration Engineer
Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.
DTCC Digital Assets is at the forefront of driving institutional adoption of digital assets technology with a steadfast commitment to innovation anchored in security and stability. As the financial services industry's trusted technology partner, we pride ourselves on empowering a globally interconnected and efficient ecosystem. Out mission is to provide secure and compliant infrastructure for digital assets, enabling financial institutions to unlock the full potential of blockchain.
Pay and Benefits:
- Competitive compensation, including base pay and annual incentive
- Comprehensive health and life insurance and well-being benefits, based on location
- Pension / Retirement benefits
- Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
We are seeking experienced Data Engineer with strong expertise in Snowflake and modern data platforms. The role involves designing, building, and supporting scalable data solutions while collaborating with cross-functional teams. Candidates should demonstrate ownership, strong problem-solving skills, and a proactive attitude toward learning and delivery accountability.
- Lead end-to-end data engineering initiatives with minimal supervision, from design to production.
- Design, review, and guide data architecture and system design aligned with enterprise standards.
- Develop and support scalable data pipelines and data platform solutions.
- Collaborate with stakeholders to gather requirements and deliver technical solutions.
- Partner with Product Management to refine and prioritize backlog.
- Ensure timely resolution of incidents, problems, and change requests, with proper escalation.
- Maintain data quality, integrity, and consistency across source and target systems.
- Provide technical support and guidance to internal teams and customers.
- Participate in user enablement and platform adoption activities.
- Adhere to ITIL processes for Incident, Problem, and Change Management.
Qualifications:
- Minimum of 6 years of related experience
- Bachelor's degree preferred or equivalent experience
Talents Needed for Success:
- 6+ years of experience in Data Engineering or related roles
- 4+ years of hands-on experience with Snowflake Cloud Data Platform.
- Strong experience with Snowflake features such as Streams, Snowpipe, Tasks, and Snowpark etc.
- Proven experience managing data warehouse lifecycle (design, implementation, operations, and optimization).
- Expertise in data modeling (Dimensional modeling, Star/Snowflake schema).
- Strong understanding of data warehousing and data lake concepts.
- Experience designing and building data pipelines and integrations.
- Strong proficiency in SQL and relational databases.
- Experience working in Agile/Scrum delivery models.
- Exposure to CI/CD practices for data platforms.
- Hands-on experience with data ingestion and streaming technologies (e.g., Kafka or similar).
Experience Level
Senior LevelJob role
Job requirements
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