Principal Data Engineer, Financial Services
Summary
Designs and builds scalable data platforms using Snowflake and Databricks to power analytics and decision-making for a financial-services company.
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
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