
Principal Data Engineer, Financial Services
$ 1 - $ 1 / month
Checking job availability...
Original
Simplified
Job Description
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
Job Description
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