Data Engineer

Req ID: 364399 

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 Data Engineer to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

Job Description:

• Work with internal business partners to identify, capture, collect, and format data from the external sources, internal systems and the data warehouse to extract features of interest 
• Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation 
• Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques 
• Coordinate with Privacy Compliance to ensure proper data collection and handling 
• Create and implement business rules and functional enhancements for data schemas and processes 
• Coordinate with Privacy Compliance to ensure proper data collection and handling 
• Perform data load monitoring and resolution 
• Work with internal business clients to problem solve data availability and activation issues 

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Required Skills:

• 7+  years of experience, primarily  in Data engineering development using Azure Cloud Technologies (Databricks / PySpark).
• 2 + years Azure Data technologies experience, primarily in Databricks Notebooks/ Python
• 1 + years of experience in designing, engineering, and implementing cloud data solutions, collaborating with business to build enterprise scale data solutions to support machine learning, artificial intelligence and analytics.
• 1 + years of cloud data development solutions, PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management, microservice frameworks, container orchestration.

• Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems 
• Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle 
• Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation 
• Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape 
• Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc 
• Experience with containerization to include but not limited to Dockers, Kubernetes, Spark on Kubernetes, Spark Operator 
• Working knowledge of Agile development / SAFe Scrum and Application Lifecycle Management 
• Strong background with source control management systems (GIT or Subversion); Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps) 

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.

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