Data Engineer - Hybrid On-Site

NTT DATA Services•Jersey City, NJ

2d•$123,210 - $136,900•Hybrid

About The Position

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer - Hybrid On-Site to join our team in Jersey City, New Jersey (US-NJ), United States (US). Please note that this role is hybrid on-site based.

Requirements

5+ years of Expert-level knowledge of writing complex SQL queries using Oracle.
5+ years of Expert-level knowledge of Oracle PL/SQL (Stored Procedures, Functions, packages, triggers)
5+ years of working experience in scripting and automation using Unix, Python in a Data Engineering environment.
6+ years of extensive experience with Relational Databases like Oracle including being able to implement performance tuning techniques
5+ years of working experience using GitHUB for Source Code Management (SCM) in a Data Engineering Practice.

Nice To Haves

Strong working experience in ETL tools like Informatica (Power Center)
Strong working knowledge of Data warehousing patterns and Dimensional Modelling techniques using Oracle.
Experience building scalable patterns for data integration in a cloud-based as well as on-prem environments
Working knowledge of Batch scheduling tools like Control-M, Autosys.
Experience with business intelligence and analytics tools such as OBIEE/OAS

Responsibilities

Develop complex SQL queries, PL/SQL packages, stored procedures, functions, and triggers using Oracle databases.
Build, enhance, and maintain ETL workflows using Informatica PowerCenter to extract, transform, and load data from multiple source systems.
Implement source code management and version control best practices using Jenkins, GitHub and GitOps.
Create automation scripts using Python and Unix shell scripting to streamline data processing, monitoring, and operational activities.
Manage and schedule batch processing jobs using enterprise scheduling tools such as Control-M and AutoSys.
Support reporting and analytics initiatives by providing optimized data structures and datasets for OBIEE/OAS and other BI tools.
Collaborate with business stakeholders, data architects, and application teams to gather requirements and deliver data solutions aligned with business objectives.
Create and maintain technical documentation, including data flow diagrams, ETL mappings, deployment procedures, and operational support documents.
Ensure data quality, integrity, consistency, and security throughout the data lifecycle.
Monitor, troubleshoot, and resolve ETL failures, database issues, and data-related production incidents.
Participate in code reviews, design discussions, and continuous improvement initiatives to enhance data engineering practices.
Work closely with cross-functional teams to support data migration, modernization, and cloud transformation projects.
Ensure compliance with data governance, security standards, and organizational policies.