- Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and reporting.
- Build and optimize data architectures for storage, retrieval, and processing of large datasets.
- Collaborate with data analysts and business analysts to understand data requirements and ensure data integrity and quality.
- Conduct exploratory data analysis to identify patterns, trends, and insights that drive business value.
- Implement and optimize algorithms for data mining, statistical analysis, and machine learning.
- Work closely with software engineers to integrate machine learning models into production systems.
- Implement data governance policies and procedures to ensure compliance and security.
- Evaluate and implement new technologies and tools to enhance data infrastructure and capabilities.
- Analyse and resolve issues related to data processing and performance.
- Document data pipelines, workflows, and technical specifications.
- Ensure the reliability, scalability, and performance of data infrastructure and analytical solutions.
- Stay ahead of with advancements in data science, machine learning, and big data technologies.
- Bachelor's degree in computer science, Engineering, or related field.
- Shown experience of 8 + in data engineering, data science, or a related role.
- Strong programming skills in Python, Java, or another programming language commonly used in data science and engineering.
- Experience with technologies such as Hadoop, Spark, Kafka, or equivalent.
- Strong understanding of database systems and SQL, with experience working with relational and NoSQL databases.
- Solid understanding of machine learning algorithms and techniques
- Strong understanding of cloud platforms such as AWS, Azure, or Google Cloud.
- Display a keen eye for detail, strategically applying it where necessary to ensure precision and accuracy in all endeavors.
- Adopt a critical thinking approach, unafraid to pose questions and explore uncertain answers, driving continuous improvement and innovation.
- Demonstrate proactive problem-solving abilities, capable of independently identifying and resolving challenges. Exhibit curiosity, and share solutions and insights collaboratively to benefit the team.
- Ability to work effectively in a fast-paced and collaborative environment.
- Strong communication skills and the ability to present complex technical concepts to non-technical partners.
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Data Science Engineer III - bangalore, India - Thermo Fisher Scientific
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Description
:Requirements: