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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
$127,050 a yearExpandUpdated 27 days ago - UpvoteDownvoteShare Job
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Additional Skills We'd Like to See: Full-Stack Web Frameworks: Django, Python, Flask Front-End Frameworks: React, Angular, Typescript Cloud Computing Environments: Openstack, AWS, Azure DevOps & Automation Tools: Docker, Ansible, Gitlab Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-Related Mapping Experience Join us at NGA and make a real impact on mission success.
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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. Utilize Databricks for big data processing and streaming analytics. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Stay abreast of emerging technologies and trends in martech, API development, cloud computing, and data engineering to drive innovation and improve martech capabilities. Utilize Python and other relevant programming languages to build robust APIs, microservices, and integrations for seamless data exchange and automation.
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Apply data engineering principles to design and optimize data pipelines for ingesting, processing, and analyzing marketing data. Implement data governance, quality checks, and monitoring to ensure the integrity and reliability of marketing data.
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Configure and integrate platform components to enable seamless data collection, segmentation, personalization, and campaign orchestration. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.
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Where We Are: From sprawling public art, to a robust music scene, to nature so big and beautiful, Sanford has the small-town feel while still offering something for everyone. Equal opportunity and affirmative action employers and are looking for diversity in candidates for employment: Minority/Female/Disabled/Protected Veteran By applying, you consent to your information being transmitted by HourlyJobsNearMe to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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Job Req ID: 24998 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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The hospital offers a wide range of specialties, including cardiology, orthopedics, ophthalmology, general surgery, obstetrics, gynecology, emergency medicine, gastroenterology, hospitalist services, nephrology, hematology, urology, podiatry, pulmonary medicine, and wound care.
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Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role.
$234,250 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data jobs Title: hadoop consultant Company: Kaiser Permanente
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