AWS Data Engineer

Responsibilities Design, develop, and maintain scalable cloud‑based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS. Build and optimise batch and streaming data orchestration workflows to support enterprise data platforms. Lead large‑scale data migration efforts, including legacy‑to‑cloud transformations and replication strategies. Perform data modelling, transformation, and reconciliation to ensure high‑quality, consistent datasets across systems. Implement secure data access patterns following least‑privilege principles for pipelines and datasets. Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions. Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements. Troubleshoot and optimise performance of ETL/ELT pipelines and data workflows in AWS environments. Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting). Basic Qualifications 5+ years of experience in data engineering, with strong hands‑on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS). 5+ years of proven experience building and managing data pipelines (batch and streaming) in cloud environments. 5+ years of strong experience in data migration, transformation frameworks, and large‑scale data replication. 5+ years of deep understanding of data modelling, data transformation, and reconciliation techniques. 5+ years of experience designing and implementing secure data access and governance (least‑privilege principles). 5+ years of hands‑on experience with data validation, auditing, and reconciliation processes. Familiarity with regulatory or finance data environments and reporting workloads. 5+ years of strong problem‑solving skills and ability to work in a collaborative, fast‑paced environment. Nice to Have Experience with real‑time/streaming technologies (e.g., Kafka, Kinesis). Exposure to data warehousing platforms (Redshift, Snowflake, etc.). Experience with infrastructure‑as‑code (Terraform, CloudFormation). Knowledge of DevOps practices and CI/CD for data pipelines. Prior experience working in regulated industries (Financial Services, Healthcare, etc.). Travel Minimal travel required ( Education Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience). Compensation Hourly rate: $60.00 to $65.00/Hour. Actual compensation will depend on several factors, including the candidate’s relevant experience, technical skills, and other qualifications. Benefits Medical, dental, and vision insurance. Flexible spending or health savings account. Life and AD&D insurance. Short‑ and long‑term disability coverage. Paid time off. Employee assistance program. 401(k) program with company match. Additional voluntary or legally required benefits. Equal Opportunity Employer NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. #J-18808-Ljbffr