Big Data Analyst
... for professional development in a data-driven, technology-forward environment. Collaboration: Engage with cross-functional teams and share knowledge and best practices, fostering ...
... for professional development in a data-driven, technology-forward environment. Collaboration: Engage with cross-functional teams and share knowledge and best practices, fostering ...
... closely support stakeholders in making data-driven decisions work with Marketing ... harness large-scale, real-time data from various sources, analyze it ... strong understanding of real-time data: ability to request and handle data from both backend and frontend ...
... , is the world’s first digital shipping platform that provides ... opportunities to improve data engineering tooling & process. Mentor and provide guidance to more junior colleagues. Lead workshops to knowledge share and upskill colleagues in both ...
... for reporting and data analytics. Contribute to designing optimised data solutions and data product. Own and document data pipelines, monitoring, data accuracy, SLAs and data lineage. What youll need: Bachelor ... right the first time – or every time. We’ll ...
... transition into the Big Data domain. Good knowledge of SQL ... jobs in Databricks or data connections and update policies in Azure Data Explorer. Petabyte-scale data platform migration to Google Cloud ... performance of the data platform by transitioning over a ...
... of commercial experience in Big Data proven record with a selected ... technologies knowledge of real-time data processing experience in Machine Learning projects experience in Apache Flink willingness to share knowledge (conferences, articles, open-source ...
... tools and platforms. Data Pipeline Development : Create, maintain, and optimize data pipelines using SQL, dbt , and ... in dbt and data modeling concepts. Strong Python skills, ... -impact, large-scale data projects. Collaboration with talented professionals ...
... and development of whole GCP data ecosystem for one of our ... contact with clients. Modelling the data from various sources and technologies. ... tuning is necessary for efficient data retrieval and processing. Proficient in ...
... volumes of structured and unstructured data. Building data pipelines to ingest data from various sources such as ... familiarity with other cloud technologies, data warehouses, data governance, and business analysis is ...
... GCP). We even became the first AWS Premier Consulting Partner in ... non-technical audiences, defining data retention policies, monitoring performance and ... approach, normalization denormalization and data warehousing concepts (star, snowflake schemas), ...