Data Engineering Delivery Manager, Hyderabad Hub
Hyderabad, India
Sanofi
Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.Data Engineering Delivery Manager, Hyderabad Hub
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About the job
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our Digital Corporate team as Data Engineer Technical Lead and you can help make it happen. Your job? Developing globally scalable AI and machine learning solutions that help us get new clinical products to patients faster and more efficiently.
Main responsibilities:
· Conduct peer reviews for quality, consistency, and rigor for production level solution
· Observe and Lead solution initiatives and supporting it with technical Proof Of Concept
· Mentor and train team members
· Develop and maintain all components of data engineering solutions and pipelines based on requirements and design specifications using appropriate tools and technologies.
· Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements.
· Lead, define and promote best practices and standards for code management, automated testing and deployment
· Work with business and products actors inside a team following Agile methodology to understand and decompose high level business requirements, and translate them into technical needs and implement them
· Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases
· Actively contribute to Data Engineering community and define leading practices and frameworks
· Communicate results and findings in a clear, structured manner to stakeholders at various levels
· Lead and manage a team of internal / external resources to lead key data engineering initiatives & projects.
· Ensure the creation of design and development related documentation based on standards for knowledge transfer, training, and maintenance.
· Contribute towards supporting the Data Objects as needed that are in Production
About you
· Experience: 5+ years of professional experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Snowflake, Databricks, Spark, Informatica/IICS or equivalent). Must have worked in cross-functional teams to solve complex data architecture and engineering problems, excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to stakeholders at all levels, pragmatic and capable of solving complex issues, with technical intuition and capacity to propose innovative solutions.
· Technical skills: Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake, proficiency in data structures and algorithms, expertise with core languages (bash, Python, SQL), experience with job scheduling and orchestration (Airflow is a plus), experience working with large data sets, and performance and query optimization.
· Soft skills: Good presentation and communication skills with a strong attention to detail and listening capacity. In a team spirit mode, with different multicultural actors, you have ability to work both independently and as part of a team. You demonstrate capacity to learn new technologies in short amount of time to adapt to changes and answer challenges.
· Education: Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field. Snowflake Certification is a plus.
· Languages: Fluency in English is a must to operate in a multicultural environment
Why choose us?
· An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team.
· An environment based on last technologies and frequent training to reinforce your profile
· An attractive, market-oriented salary and cafeteria benefits.
· Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easily schedule your office days.
· Work from an "Office of the Year 2024" finalist office.
Pursue Progress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Big Data Business Analytics Business Intelligence Computer Science Databricks Data pipelines Data Warehousing Engineering ETL Informatica Machine Learning Pipelines Python Snowflake Spark SQL Testing
Perks/benefits: Career development Equity / stock options Flex hours
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