Data Engineer
Data Engineer
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1 Vacancy
Job Description
Role: Data Engineer
Location- New York NY
JD-
Must have finance (investment/capital markets) experience
Job Description
We are looking for an experienced Data Engineer with expertise in SQL python and strong data modeling skills.
In this role you will be at the heart of our data ecosystem designing and maintaining data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality building scalable systems and supporting cross-functional teams with clean accurate and actionable data.
Key Skills: Python SQL Snowflake Pandas Azure ADF ETL Data pipelines
Behavioral Competencies: Good communication (verbal and written) Experience in managing client stakeholders
Qualifications
Bachelors or masters degree in computer science Engineering or a related field.
3 years of experience in data engineering with a strong background in building and maintaining data pipelines and ETL processes.
Strong proficiency in SQL and experience with relational databases.
Proficiency with Python.
In-depth knowledge of data modeling ETL processes and data integration techniques.
Experience with data warehousing solutions.
Experience with web-scraping.
Strong problem-solving skills and the ability to work independently and as part of a team.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Responsibilities
Design develop and maintain scalable and efficient data pipelines and ETL processes.
Experience with python SSIS PDI Azure Data Factory or other ETL tools.
Improve data ETL pipeline and build tools to analyze new data efficiently.
Collaborate with data scientists/analysts and stakeholders to understand data requirements and translate them into technical specs.
Build technologies to bolster research & trading efficiency.
Implement best practices for data quality consistency and governance across various data sources and systems.
Implement best practices in Data Engineering to drive innovation and enhance our platform as we scale.
Manage day-to-day operations in a fast-paced environment.
Employment Type
Full-time
