Senior Consultant

1 week ago


Chennai, Tamil Nadu, India AstraZeneca Full time

Job Title:

Senior Consultant - Data & AnalyticsCareer Level - D1.We are seeking a highly skilled and experienced Senior Data & Analytics Engineer to join our offshore team in the Knowledge Graph Service.

As a Senior Data & Analytics Engineer, you will play a critical role in supporting projects and initiatives across different domains within AstraZeneca.

Your primary responsibility will be to lead and oversee the data ingestion, clean-up, and enrichment part of the pipeline for projects that require it.

The ideal candidate should have a strong background in data engineering and analytics, as well as hands-on experience with AWS DevOps tools and technologies.

Key responsibilitiesCollaborate with project teams across various domains to understand their data requirements and provide expertise in data ingestion and enrichment processes.

Design, develop, and maintain scalable and robust data pipelines and ETL workflows for the Knowledge Graph Team.

Implement advanced data engineering techniques and best practices to ensure optimal performance and reliability of data systems.


Work closely with data scientists and analysts to ensure high-quality and accurate data for knowledge graph construction and advanced analytics.

Troubleshoot and resolve complex issues related to data pipelines, ensuring smooth and efficient data flow.


Optimize data storage and processing for performance, scalability, and cost-efficiency in the context of knowledge graph creation and advanced analytics.


Stay up to date with the latest trends and technologies in data engineering, analytics, and AWS DevOps to drive innovation and continuous improvement within the Knowledge Graph Service.

Provide DevOps/CloudOps support for the Knowledge Graph Team, ensuring smooth operations and optimal performance.

RequirementsBachelor's or Master's degree in Computer Science, Engineering, or a related field.

Strong expertise in data engineering, ETL workflows, and data pipeline development.

Proficiency in programming languages such as Python, Java, or Scala.

Experience with advanced data engineering techniques and best practices.

Proven experience in DevOps/CloudOps support, particularly in AWS environment.

Excellent troubleshooting and problem-solving skills.

Web-services development and consumption (, RESTful, GraphQL).


Strong communication and collaboration skills, with the ability to lead and work effectively with cross-functional teams, present findings, and influence decision-making.


Good to have skills and experience:Experience in a senior or leadership role, guiding and mentoring junior data and analytics engineers.

Familiarity with knowledge graph construction and advanced analytics is a plus.

Familiarity with Object Graph Mapping libraries and/or Aspect-Oriented Programming.

Expertise in data engineering using modern data platforms to build, deploy, and maintain data applications.

Application deployment technologies (, containerised workflows, Kubernetes) and cloud provisioning tools (, CloudFormation, Terraform).

Experience with full-text search and indexing (, Solr/Lucene, Elastic Search).

Knowledge of testing frameworks.

AWS certification(s) is highly desirable.


If you meet the above qualifications and are passionate, results-driven individual with the expertise and determination to excel in this ambitious role, we would love to hear from you.

Apply now to join our team and help shape the future of the pharmaceutical industry.
Date Posted24-May-2024

Closing Date29-Jun-2024
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