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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Over 8+ years of professional experience in roles such as Data Engineer or Developer, showcasing a strong technical command over Snowflake, dbt, Airflow, SQL, and other pertinent technologies. Conceptualize and construct resilient, high-performance data solutions utilizing Snowflake, dbt, Airflow, and SQL Server to fulfill organizational objectives.
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We are a data-driven team: data engineering, data science, and analytics is central to everything we do and underpins all of the functions mentioned above. As a Data Scientist at Square, you will lead projects that derive value from our unique, rich, and rapidly growing data.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Familiarity with SVOD and AVOD datasets - Familiar with various data transfer methods/protocols including but not limited to APIs, feeds, S3, S/FTP, Google Cloud Storage, querying data out of data warehouses, Snowflake etc.
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Lead multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market. Develop a thorough knowledge and understanding of cross system integration, interactions and relationships in order to develop an enterprise view of Thrive Market’s future data needs.
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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL.
$240,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in handling data environments and design solutions using cloud services like Azure Data Factory, Apache Spark, Azure Databricks or similar solutions. This position will be the primary technical resource, a hands-on individual contributor for the implementation of key services including enterprise data lakehouse, design ingestion framework, cloud data security and vulnerability remediation, network optimization, sandbox/workspace infrastructure-as-code and data enablement services, business intelligence services, AI/ML services, etc.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Lead Captain, Data Analytics, California (Fall 2024) Wildland Fire Captain - Capstone/Rural Metro Fire. Senior Job Captain/Job Captain - DSA, K-12, Revit. Police Captain (Administrator II) - University Police Department.
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The team delivers world class sports science and data analysis services to a roster of world famous teams such as the New York Knicks and LA Chargers. Data visualization (Tableau, PowerBI, etc.
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This will involve overseeing the design and maintenance of data pipelines using Python, Spark/PySpark, BigQuery, GCP, SQL and visualizations such as Tableau or Power BI. You will also assist on implementing data architecture best practices, including data warehousing, data lakes, and cloud-based solutions.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.
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data job Title: accounting assistant Company: Turner Construction in Los Angeles, CA
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