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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
$117,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in scripting and automation using languages such as PowerShell, Python, or Bash. Experience with data protection technologies, including backups, snapshots, replication, and disaster recovery.
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Python, Sql, scala, AWS, spark, etl, big data, hadoop. Expert-level expertise in SQL, Python, Scala or similar; other object-oriented programming experience a plus Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts – a key requirement for successful collaboration with data architects and visualization developers.
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Utilize programming languages/Frameworks like Java, Spring, JavaScript,HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Splunk, Test Automation Tools, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks) · Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.
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And health interoperability standards (HL7, FHIR, USCDI) preferredExperience working with real-world data sources such as EHR and claims dataFamiliarity (able to mostly read) with common data analysis tools and platforms (e.g., SQL, Python, R.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Proficiency in Microsoft Excel, Tableau, Microsoft Access, SQL, Power BI, Python, SAS, Hive and/or Spark. Interest in working with data, interpreting results, analytic best practices and experience with data analytics tools and data visualization.
$90,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with AWS EMR, Apache Spark - Scala, Python, Kafka and Infrastructure as Code (IaC) tools like Terraform. 1+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc.
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