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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