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 7.5 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.
Bengaluru
Igualdad de oportunidades laborales
Todas las decisiones de empleo se tomarán sin considerar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, condición de discapacidad, condición de veterano, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía o cualquier otro criterio protegido por las leyes federales, estatales o locales.
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Accenture está comprometido con brindar oportunidades laborales a veteranos, incluyendo a hombres y mujeres que han prestado servicio.
Para más información sobre cómo procesamos tus datos durante el proceso de reclutamiento y contratación, por favor consulta la Declaración de Reclutamiento y Contratación de Accenture.
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