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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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Work with data and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users. 4+ years of experience in a data analyst role working at scale.
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Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Job Role: GCP Data Engineer.
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Electronically Stored Information Process Audit:Requires knowledge of:Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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8+ years of experience managing software development projects through complete release cycles 4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc 4+ years of experience leading software engineering teams 2+ years of experience in cloud technologies: Azure (big plus), AWS, OpenStack, etc.
$101,231 - $172,355 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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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.
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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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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. Working knowledge of Enterprise tools, MDM, and Big Data products like Informatica, SAP SAC, Oracle, Tableau, Salesforce, etc.
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This technology leader will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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RECENT RECOGNITION Barron's 100 Most Sustainable Companies CDP Discloser Dow Jones Sustainability Indices Ethisphere's World's Most Ethical Companies Fortune World's Most Admired Companies Great Place to Work Sustainability Yearbook S&P Global This is located in Big Timber, MT. POSITION SUMMARY: A Driver- CDL (B) is responsible for safely operating a collection truck, and providing prompt, courteous and complete waste removal services for customers.
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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big data jobs Title: senior developer Company: Verizon
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