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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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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. 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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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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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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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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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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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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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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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data Specialty (Data Analytics Speciality.
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Company Summary DISH, an EchoStar company, has been reimagining the future of connectivity for more than 40 years.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Cloud based data and analytics native PaaS components in Azure, Google Cloud, AWS. Data architecture, data modeling and data management across relationship, columnar and noSQL technologies like SQL Server, MongoDB, Vertica, neo4j.
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Move easily between big picture thinking and managing relevant detail. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.
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big data jobs Title: program manager Company: Servicenow in MD, Canada
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