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Advanced knowledge of architecture-level information security and appropriate use enforcement technology solutions including advanced malware detection/prevention, mobile device virtualization/MDM, cloud security management, structured and unstructured database encryption, mobile application and remote API security, fine-grained application authorization and access control, security event visualization, big data user and entity behavior analytics, active adversary deception, and others.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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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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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You have experience with ETL/ELT and data warehousing using tools such as dbt, Azure Data Factory, Matillion and/or Fivetran.
$140,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. We're proud to have been recently named as one of the Air Force's "big bets" on emerging technology and Built In's top companies to work for in 2022.
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Solve big data problems using a breadth of modeling and quantitative techniques, including understanding of data science concepts and techniques across the disciplines of applied statistics and machine learning.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree in Business, Marketing, Data Science, Statistics, Economics, or other relevant field. Fandango seeks an experienced, talented, and passionate Data Analyst to join our growing Analytics team.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Define the vision, requirements, and lead development of the Enterprise Data Lake focusing on the business needs.
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As a Data Scientist at Square, you will lead projects that derive value from our unique, rich, and rapidly growing data. 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.
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LANES uses the Mirth technology, AWS cloud and Google Big Query and FHIR, to link healthcare organizations and to maintain the core technology infrastructure of the Health Information Organization.
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Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
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Proficient use of data systems and web-based data visualization tools such as Tableau for full-stack data analysis, insights synthesis and presentations is required. Experience working with external data science and data engineering teams.
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Hands on experience with programming languages including SQL, Python on cloud data platforms like Snowflake , Redshift etc. Work in agile model alongside Senior Data Engineer, data architect, data analysts, data scientist, business partners and other developers in delivery of data.
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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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Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
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big data jobs Title: technology lead in Los Angeles, CA
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