Big Data Engineer

This role is for a Big Data Engineer with a contract duration of 4+ months, offering a pay rate of "unknown." It requires a Bachelor's degree, 5-7 years in Big Data application development, and expertise in Spark, Python, and Hadoop. Hybrid work location, 3 days onsite.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 15, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Jersey City, NJ
🧠 - Skills detailed
#Data Engineering #SQL (Structured Query Language) #Big Data #Python #Spark (Apache Spark) #Data Modeling #Scala #Security #Hadoop #Computer Science #"ETL (Extract #Transform #Load)" #Mathematics #PySpark
Role description
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Grow your career as a Big Data Developer with an innovative global bank. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 4+ Months

Required Skills & Experience
• Bachelor's degree in Computer Science, EE, Mathematics or related majors.
• 5-7 years of experience in Application Development in Big Data
• 3-5 years of experience working with Spark, Python, PySpark
• Experience working with Data Modeling & DWH Designing, PL/SQL and HQLs, Hadoop, Hive, ETL Designing
• Team player and self-motivator
• Good communications skills
• Keen eye for identifying potential design flaws and proposing alternative solutions

Desired Skills & Experience
• Master’s degree preferred.
• Knowledge of Financial Markets like Equities, Fixed Income and Securities Services will be an added advantage.
• Financial knowledge or background is a plus.

What You Will Be Doing
• Create and deliver a client profitability framework and reporting tools to accurately measure revenues, capital, and returns for the group.
• Design, execute, and build automated solutions to generate profitability models and make it available through various distribution channels.
• Build processes and tools to maintain high data availability, quality, and maintainability.
• Ability to translate business concepts to technical terms.
• Engage with business partners to understand their needs and provide suggestions/guidance on appropriate solutions to solve their problems with pros/cons articulated clearly
• Drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture that can be fully built-out once validated.
• Apply creative thinking/approach to determine technical solutions that further business goals while aligning to the broader technology strategies, keeping in mind performance, reliability, scalability, usability, security, flexibility, and cost.

Posted By: Melissa Klein