Project Role : Database Administrator
Project Role Description : Design, implement and maintain databases. Install database management systems (DMBS). Develop procedures for day-to-day maintenance and problem resolution.
Must have skills : Microsoft Azure Databricks
Good to have skills : Python (Programming Language), Scala, PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Key responsibilities:
Develop and maintain scalable data pipelines using Python/Java/Scala/PySpark and Big Data tech (Hadoop, Spark, Scala).
Build, train, and optimize ML models using frameworks like PyTorch, TensorFlow, Keras, and XGBoost.
Design and manage real-time data workflows leveraging Kafka, SQL, and MongoDB.
Create dashboards and insights using Tableau or Power BI to support decision-making.
Utilize Cloud platforms (Azure/Databricks) to deploy and operationalize data and ML solutions.
Ensure the reliability, scalability, and performance of our data assets.
Design and maintain quality indicators as well as the corresponding monitoring and alerting means.
Troubleshoot and document issues respecting Amadeus standards.
Continuous improvement mindset applied to data related issues, systems, and processes.
Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization.

About the ideal candidate:
Analyze specifications, help to define user requirements for the development of software solutions.
Design and development.
Design technical solutions and perform feasibility studies.
Propose viable technical solutions.
Develop software according to Amadeus standards.
Data Engineering Activities
Acquire datasets that align with business needs.
Develop algorithms to transform data into useful, actionable information.
Design, develop, construct, test, and maintain optimal data pipeline architectures.
Create new data validation methods and data analysis tools.
Ensure compliance with data governance and security policies.
Identify ways to improve data reliability, efficiency, and quality.
Data Science activities
ML Model training.
ML Model calibration for different customers
KPI definition and measurements.
Data mining, data analysis
Research
Design new algorithms / models. Enhance the existing ones.
Industrialize and implement new prototypes.
Test and support
Conduct unit, package and performance tests and ensure a level of quality in line with the Amadeus guidelines.
Participate in the validation phase of the product cycle, fine-tuning when necessary to final ize the product.
Support the customer, perform investigation about the model result and behavior.
Documentation

Cloud:
Familiarity with Azure cloud technologies.
Familiarity with Azure Databricks, Azure ML and Databricks SQL.
Familiarity with Snowflake Data Cloud will be a plus.


Qualifications
Education: University degree in computer science or related field or relevant experience
Proven track record of experience working in Applied Machine Learning Concepts & Data Science area.
Experience with data modeling and data visualization concepts and tools.
Knowledge of Software Design under Agile frameworks (Scrum, Kanban, SAFe, ).
Proven experience on design and maintaining applications using Scala, (Py)Spark, Kafka and NoSql databases.
Hands-on experience on Microsoft Azure, Databricks.

Other:
Python/Java/Scala/PySpark.
Applied ML experience (PyTorch, Tensorflow, Kera, XGBoost )
Kafka
SQL , MongoDB
Tableau / PowerBI
Interest in Mathematics and Modelling.
Big Data: Hadooop-Spark-Scala knowledge.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.