... service, setting the standards for data management, integration and data cataloguing. Support and mentor wider team of developer as existing BI services and ... , such as the AWS Certified Big Data or AWS Certified Solutions Architect, ...
... doing Own and improve our big data pipelines in AWS Spark. Assemble large, complex data sets that meet business requirements, ... experience with building and optimizing big data pipelines in Apache Spark 3+ ...
... doing Own and improve our big data pipelines in AWS Spark. Assemble large, complex data sets that meet business requirements, ... experience with building and optimizing big data pipelines in Apache Spark 5+ ...
... . Currently were seeking a skilled Data Engineer with expertise in Google ... , emerging technologies, and trneds in big data processing and analytics Document, design ... , GCP, SQL, Hadoop, Pub Sub, Big Query, Kafka SKILLS & EXPERIENCES YOU ...
... -usable, self-service frameworks for data ingestion implementation of warehouses, data lakes, data marts and data processing pipeline solutions for new ... , Python. Knowledge of the DWH, Data Lake, Lakehouse design principles. Strong ...
... , MySQL) Proficient Java developer Experience with functional programming in Scala Scientific programming skills in Python (e.g., Numpy, Scipy, Scikit-learn, Pandas) Familiarity with at least one of the main Big Data frameworks and platforms ...
... , Spark, AWS and related Big Data Technologies Experience building data pipelines Expert domain knowledge in ... them into well-defined data science use cases with measurable ... customers, offering consultations on data science best practices and advising ...
... junior consultants and team members. Advocating and implementing best practices in data management, analytics, and machine learning. Collaboration and Communication: Working closely with cross-functional teams, including data engineers, software developers ...
... other distribution channels to source data. Proficient with software lifecycle and ... -technical clients as SME on data asset offerings. Communicating with stakeholders on project deliverables. “As software developers we’re paid to be professional ...
... in different areas - DevOps Engineers, Data Engineers, Data Scientists, Front and Backend Developers etc. we manage to provide high-quality services to our customers. We have strong traditions in Big Data and Data Analytics. Here you will gain ...