FSS - 3022 - Sr. Data Engineer

Job

First Soft Solutions.

Jersey City, NJ (In Person)

Full-Time

Posted 8 weeks ago (Updated 1 day ago) • Actively hiring

Expires 6/30/2026

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Job Description

Person Details sony ajeesh Sr. Data Engineer (Jersey City, NJ, 07302) | 04/06/26 Easy Job Description Data Engineer (Financial Services - Enterprise Data Platform)

Location:

[Onsite / Hybrid / Remote]

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, andpliance 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 Ensurepliance 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, andpliance 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 Interested Candidates