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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Key Qualifications: 3+ years of experience building enterprise level applications on large-scale distributed systems Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software.
$138,900 - $208,300 a yearExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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Experience with Big-Data technologies such as Spark over DataBricksDeveloping and deploying over Cloud platforms (AWS, Azure)Linux / Bash scriptingRelational databases (Oracle, PostgreSQL, MySQL, etc.
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Experience in cloud environments with a blend of data science skills (remote sensing, physics, geospatial, imagery process, etc) and computer science understanding is a plus for this position.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Experience working in following technologies: Cloud analytics technologies (GCP preferred) - Big Query, Dataflow, Data form, pub/sub, Kafka, Cloud run, cloud functions, Dataplex , GCS, Cloud SQL, Dataproc, Airflow, Compute Engine, Cloud functions and App engine.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. This is an exciting opportunity to join our Digital and Cloud Team to help leading pharmaceutical and biotech companies adopt cutting edge scientific R&D technology.
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Utilize cloud computing platforms (such as AWS, Google Cloud, or Azure) to deploy and manage ADAS data-related services, ensuring high availability and scalability. Engage in cross-functional collaboration to unify and integrate data from diverse sources, including sensors, cameras, LiDAR, and GPS, into a cohesive and streamlined data pipeline.
$123,200 - $169,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge of modern data stack and infrastructures, i.e., AWS Cloud, Data warehouse/Data Lake/Data Mesh, data integration tools, Airflow, DBT, Snowflake, Redshift, etc.
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As an adjunct faculty member, you’ll provide program instruction incorporating innovative teaching methodologies, cutting-edge technologies and other industry trends reflecting advancements in your discipline.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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Encourages the team to stay abreast of and adopt cutting-edge standards in cloud security, application security practices, and the secure software development lifecycle. Familiar with Amazon Web Services, Google Cloud Platform, IaaS/PaaS/SaaS solutions, and tools like Rapid7, Splunk, IDS/IPS systems, DLP, NAC technologies, and federated IAM solutions.
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