Senior Data Engineer
-on experience with cloud databases – Big Query, Snowflake, Azure SQL. 4+ years working in a data environment and responsibility...
-on experience with cloud databases – Big Query, Snowflake, Azure SQL. 4+ years working in a data environment and responsibility...
, or Snowflake). Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD...
of data models in Snowflake for customer reporting. Mentor team members through peer programming and code reviews. Provide..., and Snowflake Willingness to work independently or collaboratively Ability to break down and explain complex concepts Excellent...
(EA) team. Tech Stack: Data: Python, Snowflake, dbt, Dagster, Airbyte, Kafka. DevOps: AWS, Terraform, k8s, Github... such as Snowflake, ClickHouse, Postgresql, S3 (CSV, Parquet, spreadsheets), and SaaS platforms Proactively contribute to the evolution...
, Distributed Data Processing, Snowflake), Data Governance, Python, Spark, Java, AWS Cloud technologies (e.g. Serverless, DynamoDB...
: Data Architecture & Data Engineering Your New Role As a Senior Data Warehouse Engineer specializing in Snowflake.... What You'll Deliver in the First 0-12 Months Design and Build: Create and manage a Snowflake data ecosystem to support event...
Senior Manager - Cloud Data Platforms, Snowflake, AI & Data, WAM (Wealth & Asset Management ), FS The EY Financial... Experience in designing cloud data platform solutions In depth knowledge of the Snowflake platform and capabilities...
) Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake) Experience with CI/CD tools...
Supporting a cloud service in production Experience working with Snowflake, Redshift, BigQuery Knowledge of GCP, AWS Startup... participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised...
, Snowflake, dbt, Dagster, Airbyte, Kafka. DevOps: AWS, Terraform, k8s, Github Actions. What you'll do Strengthen..., document, and deploy reliable data pipelines, working with diverse data sources such as Snowflake, ClickHouse, Postgresql, S3...