Lead Data Integration Engineer

4 days ago

Chennai Hyderabad, India Dtcc Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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

- Lead 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 DTCCs ITIL process for incident, change and problem resolution

Qualifications

- Minimum of 6 years of related experience
- Bachelor's degree preferred or equivalent experience

Talents Needed for Success:

- 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 managementplanning, 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.
- Actual salary is determined based on the role, location, individual experience, skills, and other considerations.

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