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Requirements 4+ years of software engineering experience Strong Python skills Strong data operations mindset and opinions on next-generation warehouse tools Strong written and verbal communication skills Experience with building production grade applications using Python Experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake.
$164,000 - $234,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc.
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Data Warehouse experience on Teradata and GCP BigQuery. This position is part of an ETL development team responsible for analysis, design, development, and support of Data Warehouse ETL pipelines.
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You have opportunity to learn and develop skills in cutting edge big data technologies: BigQuery, Airflow, Looker, TensorFlow, etc. Use tools and programing methods to build scalable ETL framework that transforms and loads large volume of data to BQ data warehouse.
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5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Experience designing and developing Enterprise Data Warehouse solutions. Azure Synapse/Bigquery/Redshift is good to have.
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Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery). WHAT THIS ROLE WILL DO Solution Design: Develop comprehensive data warehouse and platform architecture blueprints, encompassing data modeling, ETL processes, data integration, storage, and data governance.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with large data sets and data warehouse environments (BigQuery/Snowflake) Experience leveraging a cloud data warehousing environment (Redshift, Snowflake, BigQuery.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success.
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Experience with modern data tools: Snowflake, BigQuery, dbt, Airflow, dagster, Fivetran etc. This includes data pipelines, ensuring high data quality and accessibility for business intelligence, data warehouse needs and data analytics applications.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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Familiarity using at least one column oriented database/data warehouse (i.e. BigQuery, RedShift) Comfortable collaborating with data scientists, product managers, machine learning engineers, and systems engineers.
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Data Warehouse Architect. Experience with traditional relational databases, NoSQL databases and/or distributed systems such as Hadoop/Hive, BigQuery, Redshift. Data exploration and data visualization tools such as Looker, Tableau.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Thorough understanding of data lake/warehouse architectures (BigQuery, Databricks, Redshift) In addition to architecting data models, we implement Analytics Engineering best practices around Data Governance, Data Quality, Data Orchestration and pipeline optimization.
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Experience with cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Databricks Lakehouse, etc.) Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with large scale data warehouse management systems such as BigQuery for 1+ years with advanced level understanding of warehouse cost management and query optimization.
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