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Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
$65 - $70 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 2 years of experience in big data technologies. As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Description: Job/Position People Analytics Data Engineer & Enablement Hybrid, 5 days 1 month, the rest as per needed Location: Lexington, MA or virtual OBJECTIVES/PURPOSE (3-4 bullets) Reporting to the People Analytics BI & Innovation Lead, and as a key member of the Global HR People Analytics team, this individual will be responsible for enabling the democratization of data within the people analytics team.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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Demonstrated ability using data from different US Census Bureau sources (e.g., the Decennial Census, the American Community Survey, the Current Population Survey); Conduct data analysis using US Census Bureau and other publicly available sources and act as a data analysis resource for other Boston Indicators teammates.
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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. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Develop data quality pipeline for questionnaires, clinical and cognitive behavioral assessments, diagnostic reports, videos, biological specimens, neuroimaging (e.g., EEG, ERP), caregiver reports and interviews.
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Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem. 8+ years of proven experience in implementing Big data solutions in data analytics space.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You must be broadly competent across many areas of technology (Cloud services, infrastructure, security, DevOps, databases, application development, or data analytics) and deep in at least of those areas.
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big data jobs Title: devops engineer Company: At T in Waltham, MA
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