Lead Expert Data & AI Engineer - Manufacturing
dsm-firmenich · Hyderabad · onsite · Posted 57d ago
Undisclosed5–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Title: Lead Expert Data AI Engineer Manufacturing
Location: Hyderabad
Join us as a Data Engineer Expert to design, maintain robust data pipeline and manage team, projects/initiatives ensuring seamless data integration and transformation. Collaborate with data modelers and business partners to drive impactful projects centered around our data. Elevate your career by mastering cutting-edge tools and technologies in a dynamic, innovative, and global environment as part of Manufacturing/Sustainability domain.
Your key responsibilities - Provide technical recommendations and evaluate project feasibility and workloads.
- Design and implement efficient pipeline architectures for data ingestion, transformation, and storage.
- Develop modular, efficient code for data transformation and integration, ensuring adherence to modern development practices.
- Perform data ingestion from source systems, including ETL processes, when tables are not available on the data platform.
- Conduct regular pipeline maintenance and upgrades, troubleshooting and resolving issues to ensure optimal performance.
- Implement data quality testing and validation to maintain high standards of data integrity and reliability.
- Collaborate closely with other data engineers, data modelers, data stewards, BI developers, data scientists, and subject matter experts to ensure seamless data integration, knowledge sharing, and delivery of impactful solutions.
- Expert knowledge in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps and Databricks.
- Expertise in cloud engineering (e.g., AWS, Azure); experience with infrastructureascode is a plus, and deploying CI/CD pipelines is a must.
- Strong problemsolving skills.
- 5 years of experience in creating and maintaining data pipelines.
- Experience handling scientific datasets for cheminformatics or bioinformatics (e.g., microbiome) is a plus.
- Experience with FAIR data principles, data governance, and data standards commonly used in scientific domains.
- Ability to collaborate closely with data experts and SMEs to ensure seamless data integration and transformation.
- Consistent application of best practices in coding, testing and documentation, delivering scalable and reliable data solutions with automated quality checks and monitoring tools.
- Curiosity and a growth mindset, always asking Is there a better wayto leverage data for smarter decisionmaking.
- Strong focus on deployment development and automation, bringing handson experience in designing, building and optimizing automated deployment pipelines across environments.
- While the role is technically oriented, leadership in team management, project oversight, and stakeholder engagement is a critical part of the position.
Sourced from naukri
Skills
data qualityAutomationAzure DevopsData EngineerData ingestionCI/CD PipelinesBIOTECHcloud engineeringamazon web servicesai engineerdata standardsBioinformaticscloudData IntegrationData GovernanceMicrosoft AzureData PipelineArtificial Intelligence
About dsm-firmenich
dsm-firmenich
Biotechnology
501
employees
1895
131 years old
Meyrin, Geneva
Switzerland
₹14.3L PA avg
Avg at dsm-firmenich
About
dsm-firmenich specializes in nutrition, health, and beauty, leveraging over a century of R&D to innovate sustainable solutions impacting consumers and the environment.
Industries
Biotechnology
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