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Data Engineer (Azure)
Ridgeant
posted 1mon ago
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Key skills for the job
Job Description
Roles and Responsibility :
- Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
- Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
- Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization
- Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
- Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency
- Build data solutions that leverage controls to ensure privacy, security, compliance and data quality
- Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines.
- Deep understanding of cutting edge cloud technology and frameworks to enable Data Science
- System integration skills between Business Intelligence and source transactional
- Improving overall production landscape as required
- Define strategies with Data Scientists to monitor models post production
- Write unit tests and participate in code reviews
Skill Requirement:
- Expert in programming languages such as R, Python, Scala and Java
- Expert database knowledge in SQL and experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI
- Modern Azure datawarehouse skills Consulting Services (Tech Talents | Contracting & Permanent) | Solution Engineering | SaaS Products (Consulting, Implementation & User-adoption)
- Expert Unix/Linux admin experience including shell script development
- Exposure to AI or model development
- Experience working on large and complex datasets
- Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
- ML model optimization skills in a production environment
- Production environment machine learning and AI
- DevOps/DataOps and CI/CD experience
Qualification : Bachelor s or Master s degree in Computer Science or related field.
Employment Type: Full Time, Permanent
Read full job description What people at Ridgeant are saying
Data Engineer salary at Ridgeant
reported by
1
employee
with 3
years exp.
₹5.4
L/yr - ₹6.9
L/yr
41%
less
than the average Data Engineer Salary in India
View more details
Ridgeant Benefits
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