À propos
Employment Type:
Full-Time (W2 Only)
No Corp-to-Corp (C2C)
About The Role We are seeking a
Data Engineer
with strong experience in
Oracle and Hadoop ecosystems
to support large-scale
data platforms within a financial services environment . This role focuses on building and optimizing
high-performance data pipelines , enabling
data integration, analytics, and regulatory reporting
across enterprise systems.
You will work in a
highly regulated environment , ensuring data solutions meet
security, governance, and compliance standards .
Key Responsibilities
Design, develop, and maintain data pipelines using Oracle and Hadoop technologies
Build and optimize ETL/ELT processes for large-scale structured and unstructured data
Work with Hadoop ecosystem tools (Hive, Spark, HDFS, Sqoop, etc.)
Develop and optimize SQL/PLSQL queries, stored procedures, and performance tuning
Integrate data from multiple sources including transactional systems, data warehouses, and external feeds
Ensure data quality, consistency, and governance across platforms
Support data migration, transformation, and data modeling activities
Collaborate with business and analytics teams to deliver data-driven solutions
Ensure compliance with financial regulations, audit requirements, and data security standards
Required Skills
5+ years of experience in data engineering / big data development
Strong expertise in Oracle (SQL, PL/SQL, performance tuning)
Hands-on experience with Hadoop ecosystem (Hive, Spark, HDFS, MapReduce)
Experience building ETL/ELT pipelines and data integration workflows
Strong knowledge of data modeling and data warehousing concepts
Experience working in enterprise environments (financial services preferred)
Understanding of data governance, security, and compliance requirements
Preferred Qualifications
Experience with cloud platforms (AWS, Azure, GCP)
Experience with data streaming tools (Kafka, Flink)
Familiarity with data lake / lakehouse architectures
Experience with Informatica, Talend, or similar ETL tools
Exposure to regulatory reporting and financial datasets
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Compétences linguistiques
- English
Avis aux utilisateurs
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