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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Js/Vue.js, Python, and SQL. Utilize Python to develop scalable and efficient backend solutions, integrating seamlessly with front-end components. js/Vue.js to develop highly interactive and responsive user interfaces for web applications.
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Other technical skills such as Python, R, Stata, SQL. Historically Black College and University (HBCU) Al. Develops or enhances existing frameworks, models and processes with regard to Asset Liability Measurement, Interest Rate Risk Management, Net Interest Margin Analysis, Funding Analytics, Funds Transfer Pricing, Balance Sheet Analytics, Liquidity Analysis and Capital Planning.
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Demonstrated proficiency in Python, R, SQL, Relational databases (Teradata, Oracle etc.) Top 5 pharmaceutical company in the industry is looking for a Principal Data Scientist in Marketing Analytics to serve as in house counsel to ensure that all decisions leverage the key insights that they develop.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Expert knowledge on SQL and Python programming. Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines.
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Understanding or knowledge in SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark. Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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Experience with Python, Snowflake SQL, Unix/Linux, Databricks and Github. 1+ years of experience with hands on Python/SQL coding in Databricks along with automation scripting skills.
$35 - $40 an hourFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in data architecture, taxonomy, and integration technologies (ETL, data ingestion and distribution patterns, SQL, NoSQL, large data processing on distributed platforms, data warehousing, R / Python.
$155,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Demonstrated knowledge of container technology (such as Docker), database technology (such as MySQL, MS-SQL, or Postgresql) and development language (such as Java, Perl, PHP or Python) Working knowledge of traditional security controls and technologies, such as Security Information and Event Management (SIEM) systems, intrusion detection/prevention systems (IDS/IPS), public key infrastructure (PKI), identity and access management (IDAM) systems, antivirus and firewalls, in addition to newer offerings such as endpoint detection and response (EDR), threat intelligence platforms, security automation and orchestration, deception technologies and application controls.
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Developer interest/experience desired but not required (Google App Scripts, Python, SQL, Javascript, etc.) Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
$63,150 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Experience using software (e.g., SAS, SQL, R, Python) to extract, analyze, organize and communicate data to support decision-making. The Senior Actuarial Analyst position is open to be a hybrid role with the expectation to work out of the nearest office at least twice a week, if applicable, OR as a fully remote role if the ideal candidate is not located near an office.
$80,000 - $95,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Skilled and proficient in data engineering languages including Python and SQL. Proficient working knowledge of native cloud-based tools on Microsoft Azure or AWS, including SQL/NoSQL databases, data lakes & blob storage as well as various cloud-based compute solutions such as Databricks or Snowflake and Kubernetes/Docker.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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