AWS Snowflake Data Engineer with Capital Markets and F2F

  • Jersey City, NJ
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

AWS
Snowflake
Data engineer
Capital Markets
Qlik
Sigma
Python
Oracle
SQL
Plsql

Job Details

Hello,

SpiceOrb is looking for AWS Snowflake Data Engineer with Capital Markets, Oracle, Qlik, Sigma

Role: Snowflake AWS Data Engineer with PL/SQL, Python, Oracle and Capital market Experience Job Location: Jersey City, NJ (Day 1 Onsite- Candidate needs to work 5 Days at the Client Office)

Duration: 12+ Months Contract Mandatory Skills

Note: Its a Face 2 Face F2F interview with the End Client

Snowflake, AWS, PL/SQL or SQL

  • Python Cloud Capabilities
  • Oracle
  • Qlik
  • Sigma

Job Description:

Key Responsibilities:

  • Develop, optimize, and maintain PL/SQL scripts to support data processing needs and ensure data integrity within our Capital Markets systems.
  • Utilize Python for data manipulation, automation, and building data pipelines.
  • Work closely with business stakeholders to gather requirements and translate them into technical specifications.
  • Collaborate with cross-functional teams to design, implement, and deliver software solutions that enhance Capital Markets operations.
  • Diagnose and troubleshoot technical issues in a timely manner.
  • Participate in code reviews and contribute to the continuous improvement of development processes.
  • Keep up-to-date with industry best practices regarding database management, programming, and Capital Markets trends.

the key skills being prioritizing are:

  • Snowflake Data Engineering
  • Strong PL/SQL
  • Python
  • 10+ years of hands-on experience in PL/SQL development, including data modeling, stored procedures, and triggers.
  • Strong proficiency in Python, including libraries such as Pandas, NumPy, or similar data manipulation libraries.
  • Proven experience in Capital Markets, with a solid understanding of financial products, processes, and data flows.
  • Strong analytical and problem-solving skills.
  • Familiarity with data visualization tools and techniques is a plus (e.g., Tableau, Power BI).
  • Excellent communication skills, both verbal and written, with the ability to collaborate effectively across teams.
  • Oracle Database, SQL, ETL processes, data warehousing, or data architecture.
  • Knowledge of Agile methodologies and development practices.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.