Data Engineer - Dallas

Req ID: 277464 

NTT DATA Services 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 - Dallas to join our team in Dallas, Texas (US-TX), United States (US).

NTT Data Americas is Hiring!

This is a permanent, fulltime, salaried position with benefits.  Not open to C2C or C2H.

Data Engineer

Job Duties and Responsibilities Include:

• Develop, maintain, and optimize data pipelines to extract, transform, and load large datasets from diverse sources into our data ecosystem
• Design and implement efficient and scalable data models that align with business requirements, ensuring data integrity and performance
• Collaborate with cross-functional teams to understand data needs and deliver solutions that meet those requirements
• Work closely with data scientists, analysts, and software engineers to ensure seamless integration of data solutions into larger systems
• Identify and resolve data quality issues, ensuring accuracy, reliability, and consistency of the data infrastructure
• Continuously monitor and improve data pipelines and processes, identifying opportunities for automation and optimization
• Stay updated with emerging trends, technologies, and best practices in data engineering, data modeling, and backend Java engineering
• Provide technical guidance and mentorship to junior team members, fostering their growth and development

Basic, Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Minimum five years of hands-on experience as a Data Engineer, working on complex data projects and implementing data modeling solutions

Other Desired Qualifications:

• Solid understanding of SQL and expertise in working with relational databases (e.g., PostgreSQL, MySQL)
• In-depth knowledge of data modeling techniques and experience with data modeling tools
• Proficiency in designing and optimizing data pipelines using ETL/ELT frameworks and tools (e.g., Informatica, Apache Spark, Airflow, AWS Glue)
• Working knowledge on Data warehousing
• Familiarity with cloud-based data platforms and services (e.g., Snowflake, AWS, Google Cloud, Azure)
• ETL/ELT tools like Informatica, Apache Spark 
• Alteryx (good to have)
• Experience with version control systems (e.g., Git) and agile software development methodologies
• Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment
• Client-specific tools like Alloy Registry, LEGEND tool for Alloy data modelling, PURE, Data Browser, Data Lake etc.
• JAVA 8, REST APIs, and microservices, Spring Boot framework
• UNIX scripting

About NTT DATA Services

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients’ long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding 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.

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