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Strong Statistical knowledge and understanding of Statistical computer languages (R, Python, SQL, Experience e etc.) Strong experience and capacity to create and implement business processes surrounding Git, Airflow, Pandas, Presto, Spark, Hive, and a visualization tool like DOMO or Tablea.
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Expertise in common data science toolkits and programming languages, including R, Python (including SciPy, NumPy, and/or PySpark) and/or Scala, Java, SQL, and shell scripting. Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
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Be a self-motivated engineer who has a passion for working with technologies including Amazon Redshift, Google Cloud Products, Python, Spark, SQL while staying current and curious about exploring the latest and greatest.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our analytics engineers work across our full technology stack (Databricks, Spark, Airflow, GitHub, Python, Monte Carlo, etc) for developing and maintaining these datasets. Multiple languages and frameworks (Python, Scala, strong SQL, Spark) highly preferred.
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Our data engineering stack run on Python, MySQL, Spark, and Airflow. Our web applications are built primarily using Ruby, Rails, Javascript (Vue.js), and a bit of Golang. You have a deep understanding of object-oriented programming language like Ruby, a web framework like Rails and a modern JavaScript framework like Vue.js.
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Lead the design, development, and maintenance of multi-modal training content for Databricks customers and partners using the latest versions of Delta Lake, Python, SQL and Spark. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Experience building queries manipulating data with SQL, Tableau, Python, R and similar platforms is essential. Also included in the portfolio is Alpine Aerotech, a worldwide helicopter support and maintenance service center in British Columbia, Canada, Aspenware, the ski industry leader in technology services and e-commerce, and Ski Butlers, the global leader in ski and snowboard rental delivery.
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PROSCI, JIRA, R/Python, and Agile. Our B2B pricing and selling solutions include Vendavo Intelligent CPQ, Margin Bridge Analyzer, Profit Analyzer, Business Risk and Sales Alerts, Vendavo Sales Optimizer, Deal Price Optimizer, Vendavo Pricepoint, and Rebate & Channel Manager.
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Experience with Python and/or Spark in Databricks. Long-term this individual will help with the replacement of Teradata with Databricks. Insight Global is seeking a Sr. Databricks Platform Administrator local to Denver, CO or Minneapolis, MN to join the Unified Data Platform team at one of our largest Utility Clients.
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A solid grasp of measurement methodologies and statistical and predictive analytics, including experience with statistical software such as R, Python, or SPSS. Proficiency in data querying, analysis, dashboard creation, and visualization techniques, with a strong command of tools such as SQL, Tableau, and Power BI.
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Analytical skills to work with large data such as Alteryx, Databricks, R, SQL or Python to accumulate, organize, and analyze complex datasets. Analytical skills to work with large data such as Alteryx, Databricks, R, SQL or Python to accumulate, organize, and analyze complex datasets.
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If you are you a Software Engineer who is experienced with Python (Django) and has an active Top Secret Clearance then please read on! A strong candidate will have 3+ years of professional software development experience with expertise in Python (Django) and at least a Top Secret Clearance.
$130,000 - $300,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data processing programming using SQL, DBT, Python, and similar tools. Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc.
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Craft robust ETL and ELT pipelines using tools like dbt, Fivetran, Airbyte, Matillion and/or custom Python. : 1+ Year (Preferred) Python: 1+ Years (Preferred) SQL: 1+ Years (Preferred) Data Warehousing (Snowflake, Databricks, Redshift, BigQuery, Clickhouse, etc.
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