Req ID: 369889
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.
We are currently seeking a Software Development Specialist Advisor to join our team in remote, Texas (US-TX), United States (US).
Job Description - Cloud Data Engineer
Job Summary
We are looking for a skilled Cloud Data Engineer with strong experience in Azure-based data platforms, particularly Azure Data Factory, Databricks and Python. The ideal candidate will design, build, and optimize scalable data pipelines and data solutions to support analytics and business intelligence needs. Experience with Teradata ETL development is a strong plus.
Day to Day job Duties: (what this person will do on a daily/weekly basis)
As a Cloud Data Engineer in the Service Delivery Tier 1 Support & Development team, you will be responsible for designing, developing, and maintaining robust data pipelines using Azure Data Factory (ADF). Build and optimize data processing workflows using Azure Databricks (PySpark/Scala).
Develop scalable data architectures in Azure (Data Lake, Synapse, etc.)
Develop and maintain data solutions using Python for data transformation and automation.
Perform data ingestion, transformation, and integration from various sources (structured/unstructured)
Ensure data quality, integrity, and governance across pipelines
Optimize performance and cost of data processing solutions
Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions
Implement monitoring, logging, and alerting data pipelines
Support CI/CD processes and deployment automation for data workflows
Monitoring and responding to the issues or failures in the Cloud Data Engineering processes for data processing and loading. Data loading and processing occur as either API, Streaming or Batch processing. These data processes are critical to retain data freshness and continuity across a large Microsoft Azure EDL. The Microsoft Azure data sources are critical for business reporting, critical business decisions and revenue generating operational processes.
Be a part of a cross-North America Cloud Data Engineering Delivery team that will partner together making a difference every day for the largest global rental car company.
Having foundational skills and experience in a data warehouse star schema with ETL concepts. Previous SQL knowledge and experience with a large EDL environment.
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
Must have 8 - 10 years' experience in Cloud Data Engineering Development & support roles preferably in Microsoft Azure Data Warehouse.
Must have Cloud Data Engineering Support experience working with large datasets and complex data environments, processes, and associated solutions.
Knowledge and experience with data warehouse star schema and ETL concepts
Proficiency in SQL and data modeling concepts
8-10 years' experience with Databricks (workflows and jobs orchestrations), Py Spark, Python, Data factory, Delta Optimization techniques, SQL, transformations, Databricks Cluster
Knowledge of Streaming Support with Event Hub, Cosmos DB, Scala, Azure SQL DB and Azure App Insights, key vaults, Azure Functions and logic apps, Azure AAD + key vaults, spark SQL, pandas etc.
Knowledge of automated and scheduled batch job tools such as IBM IWS and Control-M.
Knowledge of data governance and unity catalog.
Knowledge of performance tuning and optimization techniques
Familiarity with version control tools (e.g., Git)
Knowledge Service now, incident management, ticket handling, change management, on call roaster management, etc.
Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives.
Must be able to both collaborate in a team-oriented environment and work independently with direction.
Nice to Have; (But not a must)
Experience in ETL development using Teradata
Knowledge of Azure Synapse Analytics
Experience with streaming technologies (e.g., Kafka, Event Hub)
Exposure to DevOps practices and tools (Azure DevOps, CI/CD pipelines)
Understanding of data governance and security best practices
Experience with Power BI or other reporting tools
Education
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience)
About NTT DATA
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 and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here (http://us.nttdata.com/en/compliance#eeos) . If you'd like more information on your EEO rights under the law, please click here (http://us.nttdata.com/en/compliance#know-your-rights) . For Pay Transparency information, please click here (http://us.nttdata.com/en/compliance#ppnp) .
