both front-end and back-end development, full of energy and ambition, a great communicator and team player Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
and global reach. We are seeking a talented AWS Data Engineer to become a crucial part of their dynamic to guarantee the accuracy of data transformations. Build resilient data pipelines, leveraging platforms platforms like AWS Glue or Data Pipeline. Craft precise specifications to direct the development, testing, Harness expertise in Oracle SQL, showcasing prowess in data modeling. Create technical documentation and artifacts comprehensively. Employ Data Quality Tools like Great Expectations to maintain data integrity at all levels
organisational capabilities with agile, modern, data-driven solutions and services built according to and beyond expectations are recruiting for an AWS Data Engineer to join an environment with cutting edge expertise in data modelling. Develop technical documentation and artefacts. Knowledge of data formats such Parquet, AVRO, JSON, XML, CSV etc. Working with Data Quality Tools such as Great Expectations. Developing Building data pipelines using AWS Glue or Data Pipeline, or similar platforms. Familiar with data stores
every company, globally, by harnessing the value of data using high performance, interoperable and simplified simplified solutions are currently looking for an AWS Data Engineer to join their fast-paced and dynamic team enterprise data solutions and applications Analyse, re-architect and re-platform on-premise data warehouses warehouses to data platforms on AWS cloud using AWS or 3rd party services and Kafka CC. Design and build production production data pipelines from ingestion to consumption within a big data architecture, using Java, PySpark
and IT Methodology processes is recruiting for a Data Scientist – AI Platform to offer a deep insight
healthcare company with a focus on health administration has a role for a Data Development Engineer. The purpose which will populate the Data Warehouse, develop and enhance the back end of the data warehouse to satisfy Diploma/Degree in Information Technology, Computer Science or data related qualifications 5-10 years' experience in Minimum of 5-10 years Data Warehousing experience. SQL/PLSQL knowledge essential. Data Modelling Tool Experience and implementation of ETL pipelines. Cloud-based data storage solutions like AWS and Azure. Technical
are thrilled about latest technologies, full of energy and ambition, hands-on and not afraid of making
An AWS Data Engineer with -12 years hands-on data engineering experience is required to join a team of Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data PowerShell / Bash Glue CloudWatch SNS Athena S3 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”)
performant applications Implementation of security and data protection Reference Number for this position is
performant applications Implementation of security and data protection Reference Number for this position is