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Lead Data Integration Engineer (Snowflake / Python)
DTCCchennai, India1 day ago
Job descriptionLead engineering and development focused projects from start to finish with minimal supervision. 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. Groom and guide the team of employees and consultants. 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 resolution Minimum of 6 years of related experience Bachelor's degree preferred or equivalent experience 6+ Years of Experience as Data Engineer or in similar role 4+ Years Cloud Datawarehouse Snowflake experience with Stream, Snowpipe ,Task, Snowpark etc. 5 years of experience in managing data warehouses in a production environment. This includes all phases of lifecycle management : planning, design, deployment, upkeep, and retirement. Experience designing and architecting data warehousing applications. Warehousing concepts involving fact and dimensions. Star / snowflake schemas and data integration methods and tools. Deep understanding of the Snowflake platform. Designing data pipelines. SQL and relational databases. Development in agile scrum teams. Development following CI / CD processes. Demonstrable experience with data streaming technologies like Kafka for data ingestion. Knowledge of Blockchain technologies, Smart Contracts and Financial Services a plus. Designing low latency data platforms a plus. Knowledge of Data Governance principles a plus.
Are you ready to make an impact at DTCC?
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. Our mission is to provide secure and compliant infrastructure for digital assets, enabling financial institutions to unlock the full potential of blockchain technology
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).
The Impact you will have in this role :
We are seeking an experienced and highly skilled Lead Data Engineer to join our dynamic team. As a Lead Data Engineer, you will play a crucial role in designing and building and growing our greenfield Snowflake Data Platform for Digital Assets.
Specific Responsibilities
Qualifications
Talents Needed for Success :
Actual salary is determined based on the role, location, individual experience, skills, and other considerations.
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Lead Data Engineer • chennai, India
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