patterns. Exposure to big data technologies such as Hadoop and Spark. Experience supporting Data Science and Machine Learning...
to technologies such as: Databricks Snowflake Spark Python R Business & Financial Acumen Strong understanding... patterns, and technical roadmaps. Stay current on emerging technologies, cloud innovation, AI capabilities, and industry...
scalable, reliable data pipelines using technologies such as Spark, Hive, Kafka, or Flink. You have experience working...
and selects appropriate technologies, develops, builds, maintains and tests database technologies, including associated software... in an assigned global technology domain or sub-domain (e.g., providing inputs around specific technologies) Participates in business...
). Exposure to QA automation frameworks (e.g., Selenium, Cypress, Playwright) is a plus. Familiarity with web technologies (HTML... great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change...
of business intelligence. Experience working with Databricks and Apache Spark/PySpark. Proficiency with complex SQL... new technologies and leverage agility and speed as strengths. We are PPG proud Strong. United. Passionate. We work...
possible languages and technologies. Focus on the technical configuration aspects (i.e. in the data lake) including data ingestion... and Apache Spark/PySpark. Proficiency with complex SQL development. Proficiency in CI/CD tools (Jenkins, GitLab) Benefits...
of AI technologies across the organization. Requisitos EDUCATION: Bachelor’s degree in Computer Science / Data Science / Artificial... Transformers, OpenCV, YOLO, spaCy Data Engineering: Apache Spark, SQL, Pandas, dbt Requires 3+ years in experiment tracking...
of AI technologies across the organization. Requisitos EDUCATION: Bachelor's degree in Computer Science / Data Science / Artificial... Transformers, OpenCV, YOLO, spaCy Data Engineering: Apache Spark, SQL, Pandas, dbt Requires 3+ years in experiment tracking...
sources. Experience with multiple data technologies and concepts such as SQL, NoSQL, Airflow, Kafka, Hadoop, Hive, Spark...