What are the responsibilities and job description for the Data Engineer position at The Atlantic Group?
Our client is a specialist asset management firm with over $14 billion AUM, specialized in income-oriented credit investments in niche and inefficient markets. As a rapidly growing firm of 140-150 employees, they are seeking a full-time Data Engineer fully onsite out of their Greenwich, CT office. This is for someone really looking to take that next step.
This is a time of high-growth at the firm, having hired many over the past year plus. There is a strong push on their IT initiatives currently. The firm makes high caliber long-term investment hires. They are a heavy automation shop, use technology to their benefit, and are not afraid of using AI to improve.
The right candidate for this opportunity would be an organized, self-motivated resource who is looking to challenge themselves and grow into performing a larger IT role in the firm.
Responsibilities:
- Design, develop, and maintain efficient and scalable SQL pipelines for collecting, processing and storing large volumes of financial data using technologies such as Snowflake, dbt and Workato;
- Write optimized SQL queries and stored procedures for data retrieval and analysis;
- Manage policies and processes for data governance and data quality;
- Create and maintain documentation for data process, data lineage and data dictionaries;
- Build dashboards using visualization tools such a Power BI; and
- Stay up to date on trends, best practices, and emerging technologies across the data engineering space and integrate into the platform where applicable.
Qualifications:
- Self-motivated problem-solver with strong relationship building skills
- Extensive experience in database design and SQL development
- In-depth understanding of Snowflake architecture, performance tuning and cost optimization strategies
- Strong familiarity with modern data orchestration tools, preferably dbt, Workato
- Solid understanding of data modeling concepts and database design principles
- Experience working with financial data
- Bachelor s degree in Computer Science, Engineering, or related field
Salary : $140,000 - $200,000