... interview and gain Big Data expertise without affecting your title ... the role of Big Data engineer. The curriculum is divided ... a robust foundation in data processing platforms. Training is fully ... to manage real-time data feeds and perform stream processing ...
... interview and gain Big Data expertise without affecting your title ... the role of Big Data engineer. The curriculum is divided ... a robust foundation in data processing platforms. Training is fully ... to manage real-time data feeds and perform stream processing ...
... drive further EPAM business in Data field Create and follow personal ... Linux based platforms and Big Data solutions on premises and in ...
... in terms of technical and data feasibility. You have a good understanding of and interest in data architecture, data elements, and data life cycle Are analytical, thus ... are comfortable using metrics and data to make decisions Are structured & ...
... and maintain efficient data pipelines using Python, SQL, and ... and constructing data pipelines Understanding of cloud-based data integration solutions and architectures Bachelors ... have Experience with Data Integration (ETL ELT) Platforms Familiarity ...
... and maintain efficient data pipelines using Python, SQL, and ... and constructing data pipelines Understanding of cloud-based data integration solutions and architectures Bachelors ... have Experience with Data Integration (ETL ELT) Platforms Familiarity ...
... Python engineers into proficient Big Data engineers. The curriculum consists of ... . Addressing critical areas such as data handling, distributed systems, Spark, Kafka, ... lays a solid foundation in data processing technologies. The entire training ...
... in terms of technical and data feasibility. You have a good understanding of and interest in data architecture, data elements, and data life cycle Are analytical, thus ... are comfortable using metrics and data to make decisions Are structured & ...
... in terms of technical and data feasibility. You have a good understanding of and interest in data architecture, data elements, and data life cycle Are analytical, thus ... are comfortable using metrics and data to make decisions Are structured & ...
... handling both structured and unstructured data sources Fluency in spoken English ... , SNS, SQS Familiarity with implementing data cataloging and other data governance capabilities Background in MLOps ...