pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
Drive Programming languages such as Python and Big Data pipelines such as ETL, SQL etc. Strong working software development 3 - 5 year's experience building big data pipelines Expertise in Data Intelligence and Business
pipelines from ingestion to consumption within a big data architecture, using Java, PySpark, Scala, Kafka a wide variety of data sources using SQL , AWS big data technologies and Kafka CC.
As a Big Data Engineer, you will be responsible for building and maintaining robust Big Data Pipelines basis. Designing, implementing, and maintaining Big Data Pipelines using BMW Data Platforms. Collaborating PySpark, Boto3, ETL, Docker, Linux/Unix, and Big Data technologies. Experience with PowerShell/Bash
Scientist Dive into cutting-edge projects, analyze Big Data, and craft actionable insights. Whether you're Design, develop, and maintain projects using Big Data technologies. Utilize machine learning, data mining technical and client interactions Technologies: Big Data technologies (e.g., Hadoop, Spark) Machine learning
platforms (preferably Azure), programming skills, and big data technologies, is essential. PLEASE NOTE: This processing systems. Implement best practices for big data processing, storage, and analysis. Develop and technologies, preferably Azure. Strong knowledge of big data processing, storage, and analysis technologies
design, hands on experience in AWS technologies, Big Data solutions, Hadoop cluster design and maintenance
/>Experience in Project Management
Good knowledge on big data and how to use this effectively to streamline
Good programming skills, specifically for big data and automation of reports
Great at working
meetings Manage Junior Developer Candidates from Big Data, collections, Fraud and Consulting industries 2 Years Management experience Candidates from Big Data, collections, Fraud and Consulting industries