Job Description

#

About the Role

NTT Data is seeking a skilled and motivated Data Engineers to join our dynamic team supporting diverse client projects across industries such as banking, healthcare, and public sector. The ideal candidate will have a strong foundation in data architecture, ETL development, and cloud technologies, with a passion for building scalable and efficient data solutions.


#

Key Responsibilities

Design, develop, and maintain robust data pipelines and ETL processes to support analytics and reporting needs. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions. Implement data integration solutions across structured and unstructured data sources. Ensure data quality, integrity, and security across all stages of the data lifecycle. Optimize data workflows for performance and scalability in cloud and on-premise environments. Support data migration and transformation initiatives for client projects. Monitor and troubleshoot data pipeline issues and provide timely resolutions.
#

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. 3+ years of experience in data engineering or related roles. Proficiency in SQL and Python or Scala. Experience with data pipeline tools such as Apache Spark, Kafka, Airflow, or similar. Familiarity with cloud platforms (AWS, Azure, or GCP). Strong understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Knowledge of data governance, security, and compliance standards.
#

Preferred Skills

Experience working in regulated industries such as banking or healthcare. Familiarity with DevOps practices and CI/CD pipelines. Exposure to machine learning workflows and data science collaboration. * Strong communication and stakeholder management skills.