Senior Data Engineer

International Solutions Group
United States
3 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Databases Information Engineering Data Governance Extract Transform Load (ETL) Apache Hadoop Python (Programming Language) SQL Databases Apache Spark Spring-boot Pandas
+6 more
Pyspark Kubernetes Information Technology Data Lineage Data Pipelines Docker

Job description

International Solutions Group (ISG) is looking for a Senior Data Engineer to join our team. As a Senior Data Engineer, you will be responsible for architecting and optimizing our mission-critical financial data platforms. You will work on building high-throughput pipelines for quantitative analysis, regulatory reporting, and risk management., * Build and maintain high-performance ETL/ELT pipelines using Python and Java

  • Optimize and maintain data frameworks using Hadoop and Apache Spark
  • Deploy and scale containerized financial data applications in Amazon EKS
  • Securely manage data continuity between On-Premises systems and AWS environments
  • Implement data governance and end-to-end data lineage tracking
  • Troubleshoot and optimize distributed processing jobs

Requirements

  • Advanced proficiency in Python (Pandas, PySpark) and Java (Spring Boot)
  • Mastery of Apache Spark and the Hadoop ecosystem
  • Deep knowledge of Docker, Kubernetes, and Amazon EKS
  • Experience with SQL, time-series databases, and relational platforms
  • Experience with enterprise security frameworks

Preferred Skills

  • 5+ years of data engineering experience in investment banking or fintech
  • Knowledge of financial instruments and market data structures
  • Bachelor’s or Master’s degree in Computer Science or related field

Benefits & conditions

Depends on Experience

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