... of ETL processes, data pipelines in BIG DATA architecture Creation and maintenance of data pipelines: receiving data from medical units and structuring data in an internal database Expansion ... ETL processes in the Big Data domain Practical knowledge of SQL ...
... , Java, or Scala. Experience with Big Data technologies like Hadoop, Spark, and distributed data storage systems. Good understanding of ...
... optimally integrate, cleanse, and load data from diverse data sources using various modern cloud and big data technologies Address data platform quality attributes such as ...
... language. Hands-on experience with data related tech stack from at ... ETL tool (e.g. Azure Data Factory, Informatica, Cloud Data Fusion, AWS Glue, Apache NiFi ... in Azure AWS Google cloud (data engineering paths) Certification in Databricks ...
... skills , as well as a data-driven mindset and a passion for data innovation . Responsibilities: Reports to Head ... and Deployment Experience in Azure Data services, Databricks, Snowflake, MS Fabric Familiarity with big data frameworks such as Hadoop, Spark, ...
... your traveling expenses. As a Data Solution Architect in Kainos, you’ll ... to design and deliver contemporary data solutions. You will be a ... a significant contribution to the data community and wider data capability. Managing, coaching and developing ...
... are looking for a Data Engineer who not only has strong expertise in data engineering but is also ready ... , and delivering large-scale data pipelines ETL ELT expertise: Practical ... frameworks and libraries in Data Engineering domains: Spark, Kafka, Airflow, ...
... of structured and unstructured data. Building data pipelines to ingest data from various sources such as ... years of experience within Data&Analytics Very good level of ... with other cloud technologies, data warehouses, data governance, and business analysis is ...
... -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 ...
... an in-depth knowledge of data science tools and techniques, which ... how to cleanse and prepare data before including it in data science products and can put ... will : develop and implement advanced data science, AI, and Machine Learning ...