Data Engineer
... potential enhancements to the existing data architecture. • Monitor performance and optimize data processing flows. • Collaborate with Business Analysts, Subject Matter Experts, and Tech ...
... potential enhancements to the existing data architecture. • Monitor performance and optimize data processing flows. • Collaborate with Business Analysts, Subject Matter Experts, and Tech ...
... Airflow , Dagster , or Prefect for data workflow automation. Professional English proficiency both written and spoken ( ...
... for an experienced Senior Product Data Analyst , who has strong numerical and ...
... philosophies with an emphasis around data integrity and data quality Familiarity with data streaming and or event-driven data pipelines will be considered an asset Clear English written and spoken business communication ...
... . Create and maintain a detailed data catalog to ensure all data assets are easily discoverable and accessible. Work closely with data scientists and analysts to structure and fulfill data requirements. Design and implement robust ...
... Senior Data Analyst, you will be part of our Big Data Center of Excellence . This means ... of English Responsibilities: Collect, organize, analyze, and maintain accurate high-quality data from various sources Analyze data to identify trends, patterns, and ...
... .” Act as a liaison between analysts and data engineers to optimize database structures and ensure seamless data accessibility. Required Skills & Experience ✅ Expert- ...
... volumes of structured and unstructured data. Building data pipelines to ingest data from various sources such as ... of professional experience in the Data & Analytics area 1 years of ... with a strong focus on data solutions build in Azure and ...
... remains at the forefront of data innovation. - Data Governance and Quality: Establish best practices for data quality and governance, ensuring data integrity across all stages of data processing. Required Skills: - Data Architecture Expertise: 6 years of ...
... experience and demonstrated expertise in data modeling, ETL processes and data warehousing. - Data Tools: Proficiency with dbt, Fivetran, ...