
10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
B2B • Enterprise • Technology Consulting
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
🕒 April 1
Improve your chances of getting an interview by checking your resume score before you apply.

10,000+ employees
Founded 1996
🤝 B2B
🏢 Enterprise
B2B • Enterprise • Technology Consulting
Nagarro is a global leader in digital engineering and technology consulting. The company helps clients become innovative, digital-first businesses by leveraging technology to drive business breakthroughs. Known for its entrepreneurial agility and CARING mindset, Nagarro offers a wide range of services, including digital engineering, intelligent enterprise solutions, and experience and design services. With over 17,900 employees across 37 countries, Nagarro collaborates with industry leaders to accelerate digitalization and technology-led innovation.
• Develop and implement a comprehensive data management and analytics strategy that aligns with the organization’s goals and delivers real-world impact • Oversee data modeling, master data management, data governance policies and procedures to ensure data integrity, quality, and security, planning for data backup, disaster recovery, and business continuity • Manage the full spectrum of data lifecycle activities, ensuring optimal data quality, storage, and utilization aligned with strategic goals • Oversee design and refine the organizational data framework, ensuring robust, scalable, and efficient data structures and integrations in AWS • Ensure compliance with relevant data protection regulations and assess data-related risks • Evaluate and implement data management and analytics tools and technologies to optimize data processing and analysis • Manage relationships, engagements, contracts, and agreements with external vendors that provide technology solutions • Work closely with various departments to understand their data needs and ensure that the data strategy supports these requirements • Lead and facilitate the implementation of data-related changes, ensuring smooth transitions and alignment with organizational goals
• A minimum of 10 years of experience in data management and analytics • At least 5 years in a leadership role • Relevant experience in creating and executing enterprise data strategy in AWS • Transforming business goals into data infrastructure • Experience in Data governance, Data modeling, Data security, Data strategy, MDM – AWS, Denodo • Experience in Industrial IoT and relevant Data Science use cases • Knowledge in Manufacturing domain and good to have lighting or similar domain or IOT related use case knowledge
Apply Now🕒 April 1
1 - 10
Azure Data Engineer developing scalable data solutions leveraging Azure Data Platform for Eastbanc Technologies. Collaborating with teams to enhance data-driven decision-making and insights.
Python
SQL
🕒 April 1
AWS Data Engineer building scalable data solutions for utility datasets. Focused on optimizing data pipelines and ensuring data compliance in a remote role.
Airflow
Amazon Redshift
AWS
Distributed Systems
DynamoDB
ETL
Pandas
PySpark
Python
🕒 April 1
Specialist providing Business Intelligence reporting utilizing Data Bricks tool. Involves hands-on development of visualizations, dashboards, and reports with a focus on Federal Financials.
Oracle
🕒 April 1
Data Engineer focusing on data migration and architecture in Azure data warehouse environment. Collaborating with tech leads on designs and providing database consultation.
Azure
Cognos
ETL
Informatica
SQL
SSIS
🕒 April 1
Data Architect developing datasets that enable data-driven decisions and data pipelines in a hybrid multi-cloud environment.
Apache
Cloud
PySpark
Python
Spark
SQL