Data & Analytics Consulting Snr. Cnslt.

The Senior Data Engineer designs, develops, deploys, and supports secure, scalable data engineering applications, data pipeline products for ingestion and transformation, and shared platform capabilities within an enterprise data and analytics environment. This role combines strong Java and Python engineering expertise with Kubernetes, cloud, infrastructure as code, CI/CD, data integration, and operational monitoring.

The successful candidate will build reliable, production-grade data products and engineering capabilities that enable data solutions at scale. This individual will work effectively across engineering, platform, security, architecture, and business teams, and clearly communicate technical solutions, tradeoffs, and risks to varied stakeholders., * Design, develop, test, deploy, and maintain scalable data engineering applications, services, and shared platform capabilities.

• Build and support data pipeline products for ingestion, integration, transformation, and delivery.
• Develop production-quality solutions using Java and Python.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes and Docker.
• Build, maintain, and support CI/CD pipelines, with Jenkins as a primary day-to-day platform; leverage GitHub Actions or comparable CI/CD tools where appropriate.
• Develop and support infrastructure-as-code solutions using OpenTofu and Terraform.
• Build and operate cloud-based data solutions on AWS, applying appropriate AWS security practices.
• Configure, maintain, and troubleshoot data flows using Apache NiFi or comparable data-flow platforms.
• Monitor application and platform availability, performance, and reliability using Prometheus or comparable observability platforms.
• Diagnose complex technical issues, perform root-cause analysis, and independently drive issues through resolution.
• Collaborate with engineering, platform, security, architecture, and business stakeholders to define and deliver technical solutions.
• Explain technical concepts, architecture decisions, risks, and recommendations to both technical and non-technical audiences.
• Produce and maintain clear technical documentation, including solution designs, operational procedures, and deployment guidance.

• 1+ years of hands-on experience with OpenTofu and 4+ years of experience with Terraform or comparable infrastructure-as-code tools and practices.
• 4+ years of experience with Kubernetes.
• 4+ years of experience developing and supporting production Java applications. Experience with Java 11 or later is preferred; strong Java 8 candidates with demonstrated modern Java and enterprise application-development experience will be considered.
• 4+ years of experience using Git-based source-control platforms, such as GitHub, GitLab, Bitbucket, or similar.
• 4+ years of experience building and supporting CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps Pipelines, or similar platforms; hands-on Jenkins experience is strongly preferred, as Jenkins is a primary CI/CD platform used by the team., * Experience developing production-quality solutions using Python, particularly in data engineering or analytics environments.
• Experience with Docker and containerized application delivery.
• Experience designing, deploying, or supporting cloud-based solutions on AWS.
• Knowledge of AWS security practices, including secure access, identity, and deployment principles.
• Experience with data ingestion, integration, transformation, and pipeline development.
• Experience with Apache NiFi and Prometheus, or comparable data-flow and observability platforms, with the ability to quickly become productive in the team’s toolset.
• Strong problem-solving, troubleshooting, root-cause analysis, and issue-resolution skills.
• Ability to work independently, prioritize effectively, and take ownership of deliverables.
• Strong communication and presentation skills.
• Ability to explain technical concepts to non-technical stakeholders.
• Experience creating and maintaining technical documentation, solution designs, operational procedures, and deployment guidance.

Education

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field, or equivalent relevant work experience.

Travel

Travel requirements, if any, will be determined based on business and project needs.

Nice to Have

• Experience with enterprise-scale data pipelines, cloud database platforms, database administration, streaming, replication, resiliency, or performance engineering.
• Experience with SQL, PL/SQL, PostgreSQL, Snowflake, Cassandra, Microsoft SQL Server, CockroachDB, Kafka, or Flink.
• Experience with Splunk, JMeter, Udeploy, or related platform, CI/CD, and observability tools.
• Experience with data modeling, solution design, data warehousing, data governance, metadata management, data lineage, data quality, data privacy, or data protection.
• Experience with Tableau or Power BI.
• Experience working across technical and business teams in a large enterprise environment.

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us