Big Data Jobs in Nayagarh
Big Data Jobs in Nayagarh
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REQUIREMENTS:Total experience 11 years.Excellent knowledge and experience in Big data engineer. Expertise in Databricks Azure Synapse Azure Data Factory and PySpark.Strong working experience with architecture and development in Azure cloud services such as ADF ADLS Azure SQL Logi More...
REQUIREMENTS:Total experience 10 years.Excellent knowledge and experience in Big data engineer. Expertise in Databricks and Python.Strong working experience with architecture and development in Azure cloud services such as ADF ADLS Azure SQL Logic Apps and Azure Functions.Strong More...
REQUIREMENTS:Total experience 10 years.Excellent knowledge and experience in Big data engineer. Strong working experience with architecture and development in Spark Scala AWS (EMR EC2 Lambda Glue S3 etc) Architecture and Designing SQL Server/NoSQL.Hands on experience in Hadoop Sp More...
REQUIREMENTS:Experience : 18 YearsStrong Cloud Architecture experience with MSA and TOGAF certified (preferred)Extensive experience in enterprise architecture and cloud architecture design.Proven expertise in data science solutioning and machine learning solution design.Strong underst More...
REQUIREMENTS:Experience 13 yearsStrong experience in Machine Learning in Pharmaceutical industry.Proficiency in Generative AI deep learning NLP computer vision and predictive analytics.Handson experience with AI/ML frameworks such as TensorFlow PyTorch Keras and Scikitlearn.Advanced p More...
REQUIREMENTS:Total experience 14 yearsStrong experience in application development with solutioning and architecture.Strong expertise in the banking technology domain with solutioning banking applications.Good understanding of open finance and core banking concepts.Expert knowledge of More...
We are looking for a highly capable Senior Full Stack engineer to be a core contributor in developing our suite of product offerings. If you love working on complex problems and writing clean code you will love this role.Our goal is to solve a messy problem elegantly and cost effectiv More...
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