DATA ENGINEER

The Data Integration & Pipeline Engineer builds and maintains reliable, scalable data pipelines that power analytics, reporting, and operational systems. This role ensures data flows efficiently across platforms while embedding technical controls for quality, performance, and observability. Key Responsibilities: Build and maintain ETL/ELT pipelines for structured and unstructured data Integrate APIs, third-party data, and operational systems Design and optimize curated (bronze/silver/gold) data

Job Title: Senior Data EngineerJob SummaryWe are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have deep expertise in data engineering, strong problem-solving skills, and experience working with large-scale distributed systems. You will play a key role in enabling data-driven decision-making across the organization. Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT data pipelin

Req ID: 367206 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. NTT DATA''s Client is currently seeking a Data Engineer to join their team in Dallas, Texas (US-TX), United States (US). Perform end-to-end datastore migration from on-prem DataLake to AWS-hosted Lakehouse as part of the migration factory team Refactor and migrate data pipelines includ

Our client is seeking a Data Engineer for a 6-month contract in Irving, TX. Will be working on an onsite schedule. Contract Duration: 6 Months Required Skills & Experience 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools. Cloud data engineering experience on Azure. Deep understanding of Azure services like Data Factory, Databricks, and Machine Learning. Azure certification is a plus. Strong proficiency in SQL, Pyt