Consultant, Data Engineer Role, New York, US - Acuity Knowledge Partners : Job Details

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JOB PURPOSE:As a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures.

JOB PURPOSE:As a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures.KEY 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.

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 5+ 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.
• Good communication (verbal and written)
• Experience in managing client stakeholders

• Python, SQL, Snowflake, Pandas, Azure ADF
• ETL, Data pipeline

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionInformation Technology

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