... Responsibilities • Manage the data pipeline, connectivity and data transformation integrating machine learning models to optimize data pipelines to support projects. • Use ... issues regarding connectivity, data transformation and be able to integrate ...
... .Experience using tools for efficient data virtualization, exploration, and transformation tools (Dremio)Experience in creating Batch and Realtime Data pipelines on Azure (preferentially).Experience ...
... team to build and optimize data transformation processes using Dataform, Airflow, and other GCP data engineering tools . Write clean, efficient Python code for data extraction, transformation, and loading (ETL). Harness the ...
... and maintain metadata repositories and data lineage documentation to track data sources, transformations, and usage. Ensure that data models are scalable, secure, and ...
... integrity and accuracy of financial data across CIB activities (balance sheet ... , Automating of manual processes of data retrieval & control, in a context ... focus shifts to granular-level data monitoring to uphold the data quality necessary for all financial ...
... Databricks or similar platforms for data transformation and analysis.Create data visualizations and reports using Power BI or other data visualization tools.Collaborate with data engineers to ensure data availability and quality.Troubleshoot and ...
... team members.Key AccountabilitiesThe Senior Data Analyst Engineer will be assigned ... are identified. When the Senior Data Engineer has acquired sufficient experience, ... Functions to automate and manage data workflows effectively. Utilize Athena for ...
... businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of ...
... its data flows from design to operation. ... work on data collection, data pipelines, data delivery to other systems and building a strong core data warehouse. You will Support your fellow Data Analysts and Data Scientists on data engineering tasks and ...
... experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to ... describe business use cases outcomes, data sources and management concepts, and ...