Data ScienceEngineering
Data ScienceEngineering
Posted on :
05-06-2024
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Job Description
Job Code: IVLIREQ
Job Locations: Bengaluru Karnataka India
Required Experience: 4 7 Years
Skills : Data Science Machine Learning AWS Cloud Python
- A minimum of 47 years of relevant experience in data science with a strong portfolio showcasing your expertise in machine learning deep learning GANs synthetic data algorithms.
- Advanced proficiency in AWS cloud services (e. g. S3 EC2 Lambda SageMaker EKS) and a solid understanding of cloud architecture.
- Expertlevel knowledge in Python and its data science libraries (TensorFlow PyTorch Scikitlearn Pandas).
- Experience in building and optimizing data pipelines architectures and data sets particularly in a realtime SaaS environment.
- Design develop and deploy data pipelines and ETL processes
- Implement data integration solutions ensuring data flows efficiently and reliably between various data sources and destinations.
- Collaborate with data architects and analysts to understand data requirements and translate them into technical specifications.
- Build and maintain scalable and optimized data storage solutions
- Develop and manage data transformation and cleansing processes to ensure data quality and accuracy.
- Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
- Optimize data pipelines for performance cost and scalability
- Exceptional analytical problemsolving and project management skills.
- Good communication skills with the ability to articulate complex technical concepts to nontechnical stakeholders.
- A selfstarter attitude with the ability to work in a fastpaced and startup environment.
Critical Skills to Possess:
- Proven experience as a Data Engineer with a strong focus on cloud technologies.
- Solid understanding of data modeling database design principles and data warehousing concepts.
- Experience with data integration ETL processes and data transformation using tools like Azure Data Factory Azure Logic Apps or similar technologies.
- Strong programming skills in languages such as SQL Python or Spark.
- Familiarity with version control systems (e.g. Git) and CI/CD pipelines for code deployment.
- Knowledge of data security and compliance practices
Employment Type
Full Time
Key Skills
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