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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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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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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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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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The ideal candidate will have a deep understanding of SQL Server and Oracle administration coupled with expertise in AWS services, particularly AWS RDS SQL Server and DMS. Proficiency in infrastructure as code tools like Terraform, scripting languages such as Python, Bash, PowerShell, and experience with serverless computing using AWS Lambda functions are essential for success in this role.
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. As a Director, Machine Learning Engineer you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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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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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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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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They are seeking a skilled Engineer (Python, Django, Flask, AWS) to be responsible for the integration and scaling up of their data platforms. Tech Stack: Python, Django, Flask, Kubernetes, CI/CD, AWS.
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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 Google Cloud Platform (GCP) or AWS Scala, sbt, cats Airflow, Kubernetes Google Dataflow/Beam or Spark, SQL, BigQuery or similar data warehouse Responsibilities Be a Senior member of the team by contributing to the architecture, design, and implementation of EMS systems Mentor junior engineers and promote their growth Lead technical projects.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. To enable test execution and analysis of performance data, this role may include aspects of mechanical, electrical, instrumentation, and software engineering.
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Proficiency in Python and SQL, data visualization tools (e.g., Tableau, Looker), and other business intelligence technologies (e.g., Alteryx). Conduct in-depth analysis of different segments of our business, leveraging industry data to identify trends and opportunities in the marketplace, with an emphasis on data storytelling.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Onboard datasets, explore data, and automate tasks using a modern Python data stack. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team.
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