Data Engineer

• Company AllianceBernstein
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

The key job responsibilities include, but are not limited to:

• Automation of data ingestion supporting various sources and formats both external and internal.
• Implementing a quality control framework for ensuring data consistency.
• Cataloging new data sets to facilitate data discovery, lineage, and self-service.
• Building business intelligence dashboards to provide data insights.
• Assist with ad-hoc data and research requests from the investment team.
• Provide support for overnight jobs.

This Role Provides Opportunity In The Following Areas

• Learning the equity investment business and engaging directly with investment professionals
• Automating complex data loads and pipelines
• Onboard alternative datasets including learning how to web scrape
• Best practices managing large data sets
• Building technical skills including SQL, Python, and PowerBI
• Working with cloud-based technologies including data lakes, data pipelines, and data warehouses

Qualifications, Experience, Education

• BS in Computer Science/Engineering, Finance, Mathematics/Statistics or a related major
• 5+ years programming in SQL with experience in relational schema designs and optimizing query performance
• 2+ years using Python or another object oriented language (C#, Java)
• Experience building both data ETL/ELT pipelines
• Experience with cloud data warehouses such as Snowflake, Azure Synapse, Amazon Redshift or Google BigQuery.
• Building visualizations using PowerBI, Tableau, or Qlik, is a strong plus

Skills

• Solid analytical and technical skills
• Candidate must be willing to take ownership of projects and show strong client commitment
• Must demonstrate good communication skills and be comfortable working closely with business users
• Self starter as well as a good team player
• A strong desire to document and share work done to aid in long term support

Special Knowledge (Nice To Have But Not Necessary)

• Experience with database migration projects
• Experience using Airflow
• Experience working in the financial industry or knowledge of basic financial statement concepts