Senior Data Engineer (CONFIDENTIAL)
The Phoenix Group, New York, NY, United States
Company Overview
Our client, a leading financial services firm, specializes in providing innovative investment solutions and data-driven insights to institutional investors.
Senior Data Engineer
Role Overview
We are seeking a Senior Data Engineer to join the client advisory team. In this critical role, you will develop and maintain robust data pipelines, analyze large datasets, and support the onboarding and management of institutional investor data. Your expertise will enable the firm to deliver secure, accurate, and timely portfolio insights to clients.
Key Responsibilities
Design, implement, and optimize end-to-end data pipelines for large-scale data processing and storage.
Conduct in-depth analysis of data sets to identify patterns and generate actionable insights.
Troubleshoot data quality issues, ensuring integrity and usability of client data.
Evaluate and enhance the performance of data systems and workflows.
Develop ETL processes using Python and optimize complex SQL queries for efficient data retrieval.
Maintain stored procedures within MySQL and MSSQL environments to streamline data operations.
Collaborate with cross-functional teams to create data models aligned with business needs and maintain strict security protocols.
Must-Have Qualifications
Bachelor’s degree in computer science, IT, statistics, mathematics, or a related field.
Proven experience designing and maintaining data pipelines, with strong Python and SQL skills.
Deep knowledge of relational databases such as MySQL and MSSQL, including schema design and query optimization.
Experience working with institutional investment or financial data is a plus.
Strong problem-solving skills, attention to detail, and ability to handle multiple deadlines.
Nice-to-Have Qualifications
Familiarity with modern high-tech databases and IT systems.
Leadership experience and strong interpersonal skills.
Knowledge of data security standards and best practices.
Career Impact
Play a vital role in managing high-stakes financial data for major institutional clients.
Grow your expertise working with complex data systems and financial portfolios.
Collaborate with a talented, cross-disciplinary team in a dynamic environment.
Opportunities for career advancement within a forward-thinking organization.
Contribute to a company committed to diversity, inclusion, and data security.
Compensation And Benefits
Competitive salary and benefits package; details available upon request.
Call to Action
If you're a talented data engineer passionate about financial data and ready to make an impact, we encourage you to apply today.
#J-18808-Ljbffr
Our client, a leading financial services firm, specializes in providing innovative investment solutions and data-driven insights to institutional investors.
Senior Data Engineer
Role Overview
We are seeking a Senior Data Engineer to join the client advisory team. In this critical role, you will develop and maintain robust data pipelines, analyze large datasets, and support the onboarding and management of institutional investor data. Your expertise will enable the firm to deliver secure, accurate, and timely portfolio insights to clients.
Key Responsibilities
Design, implement, and optimize end-to-end data pipelines for large-scale data processing and storage.
Conduct in-depth analysis of data sets to identify patterns and generate actionable insights.
Troubleshoot data quality issues, ensuring integrity and usability of client data.
Evaluate and enhance the performance of data systems and workflows.
Develop ETL processes using Python and optimize complex SQL queries for efficient data retrieval.
Maintain stored procedures within MySQL and MSSQL environments to streamline data operations.
Collaborate with cross-functional teams to create data models aligned with business needs and maintain strict security protocols.
Must-Have Qualifications
Bachelor’s degree in computer science, IT, statistics, mathematics, or a related field.
Proven experience designing and maintaining data pipelines, with strong Python and SQL skills.
Deep knowledge of relational databases such as MySQL and MSSQL, including schema design and query optimization.
Experience working with institutional investment or financial data is a plus.
Strong problem-solving skills, attention to detail, and ability to handle multiple deadlines.
Nice-to-Have Qualifications
Familiarity with modern high-tech databases and IT systems.
Leadership experience and strong interpersonal skills.
Knowledge of data security standards and best practices.
Career Impact
Play a vital role in managing high-stakes financial data for major institutional clients.
Grow your expertise working with complex data systems and financial portfolios.
Collaborate with a talented, cross-disciplinary team in a dynamic environment.
Opportunities for career advancement within a forward-thinking organization.
Contribute to a company committed to diversity, inclusion, and data security.
Compensation And Benefits
Competitive salary and benefits package; details available upon request.
Call to Action
If you're a talented data engineer passionate about financial data and ready to make an impact, we encourage you to apply today.
#J-18808-Ljbffr