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Principal Data Engineer, Financial Services

Summary

Design and build scalable data platforms using Snowflake and Databricks to power analytics and decision-making in financial services.

This role is pivotal in designing, building, and optimizing data platforms to support advanced analytics and drive data-driven decision-making across the company. You will be working with cutting-edge technologies to architect and implement scalable and efficient data solutions.

Responsibilities

  • Lead the design and development of robust, scalable, and high-performance data architectures.
  • Build and manage complex ETL/ELT workflows to ensure seamless ingestion, transformation, and delivery of data.
  • Utilize cloud platforms and tools, particularly Snowflake and Databricks, to develop scalable and cost-effective solutions.
  • Implement and maintain best practices in data quality, security, and governance to ensure regulatory compliance.
  • Partner with data scientists, analysts, and business stakeholders to understand requirements and deliver actionable insights.
  • Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Required Technical skills

  • Proficient in Snowflake and Databricks, with hands-on experience in setting up and optimizing these platforms.
  • Experience with data modeling, data warehousing, and building data lakes.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Prior experience in leading offshore teams would be advantageous

See also