Data Engineer

Data Engineer (ETL Data Stage) - 25-06063

Location:

Atlanta, GA (Hybrid/Onsite - Mon, Wed, Thur - 9am to 6pm EST)

Duration: 1yr+

Employment Type:

W2 or C2C

Interview process: 2 interviews, 2nd is in-person.

• Design, develop, automate, and support complex applications to extract, transform, and load data.
• Implement and automate complex processes; plan and conduct ETL unit and development tests.
• Monitor results and take corrective actions; translate data access, transformation, and movement requirements into functional requirements and mapping designs.
• Use SQL to design database schemas, optimize data retrieval, and implement ETL processes.
• Investigate, analyze, and resolve complex technical problems related to system functions, environment, and procedures.
• Manage service levels, standards, and configurations; participate in Agile teams to meet goals.
• Develop and support Kafka integrations, including topics, producers, consumers and streaming applications.
• Design, develop and maintain enterprise microservices—security, logging, common APIs and enforcing coding standards.

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering, or related technical field and 5 years of software development experience.
• Design, build and maintain batch or real-time data pipelines.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
• Monitor data systems performance and implement optimization strategies.
• Must have experience with analyzing, tuning and optimizing queries in the RDBMS.
• Strong computer skills, including proficiency in at least one programming language (C/C++, Java, Python).
• Hands‑on experience in designing, developing and maintaining software solutions on ETL process utilizing IBM Infosphere Data Stage/Quality Stage.
• Experience with large datasets, including structured and unstructured data.
• Knowledge of Kafka and messaging is a plus.
• Must be able to produce thorough technical design documents, test plans and documented results.
• Experience with Agile methodologies and fast‑paced environment preferred.
• Experience developing API integrations with cloud and other applications.
• Experience building applications using Java and Java based frameworks like Spring Boot is strongly preferred.
• Strong skills on SQL, PL/SQL programming, query optimization.
• Knowledge of Data Management Strategies (ETL Frameworks, Data Modeling concepts).
• Willingness to learn new technologies.
• Excellent verbal and written communication skills to clearly and simply communicate complex information.

• 5+ years’ experience working in a Data Warehouse environment (or equivalent).
• Experience with design, development, automation, and support of applications to extract, transform, and load data.
• Experience with databases, including Oracle, DB2, Teradata, SQL Server, and Access.
• Experience with IBM Info Sphere Data Stage.
• Experience with Data Warehouse.
• Experience with Unix Shell Scripting.
• Experience with Spring Boot is preferred.
• Knowledge of Kafka and streaming solutions is a plus.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75 % of the Fortune Global 100 and are committed to helping clients innovate, optimize, and transform for long‑term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start‑up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.

We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

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