Lead Data Integration Engineer (Snowflake/Python)

6 - 11 years

15 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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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    Dtcc

    Financial Services

    Jersey City NJ

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