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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake). Familiarity with Databricks for big data processing and advanced analytics.
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization. Must have practical experience assisting clients with development of one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing and advanced analytics. As a MarTech Engineer, Business Intelligence (BI) Analyst, you will play a crucial role in transforming data into actionable insights that inform business strategies and drive performance.
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Certification in relevant BI and analytics tools (e.g., Microsoft Certified: Data Analyst Associate, AWS Certified Machine Learning). Your expertise in Python/R, SQL, Power BI, Power Apps, Advanced Analytics, and Databricks will be essential in this role.
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As well transition to Next-Gen platform architectures such as distributed data lake and Data mesh on cloud, etc. MPP (Snowflake, BigQuery, AWS Redshift etc.) Data integration Tools (Informatica, Talend, etc.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data pipeline and workflow management tools (Airflow, etc.) Data Modeling (Data vault, Star, Snowflake) We specialize in Data Products Management (DPM), Data Architecture and Engineering (DAE), Data Governance and Controls (DGC), and Data Analytics and Insights (DAI.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data lake and data warehouse solutions, including Databricks, Azure Data Factory, Airflow etc. Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
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Adobe Experience Manager(AEM) (Site, Assets, Multi-Site Manager, Creative Cloud Asset Link) Proven experience as a Business Intelligence Analyst or similar role, focusing on advanced analytics and data analysis.
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Hands-on experience with AWS SageMaker for machine learning and predictive analytics. Expertise in Power BI for data visualization and reporting. Design and implement machine learning models using AWS SageMaker for predictive analytics.
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Perform data mining, cleaning, and transformation to ensure data quality and integrity. Develop and maintain advanced data models, reports, and dashboards using Power BI. Our job opportunities will give you the opportunity to showcase your talents, grow your skills, and expose you to cutting-edge technologies, whether you’re an engineer, developer, products guru, systems and security expert, sales and consulting executive, or an intern looking to gain real experience with a company that will make you stand out.
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Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, or a related field. Proficiency in Python or R for data analysis and statistical modeling. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. 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.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday
databricks big data engineer aws cloud jobs Title: engineer Company: Emerald
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