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The Enterprise Architect for Big Data (EABD) helps to reduce risk, increase business value, and manage costs as a member of the Enterprise Architecture team. Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. Collaborating with business teams on the design, deployment and continuous improvement of the scalable data platform that ingests, stores, and aggregates various datasets, including data pipelines, platforms, and warehouses, and surfacing data to both internal and customer-facing applications.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Looking for a strong Big Data Engineer with Spark, Scala, SQL, and Azure. Architecture and Platform Organizations are looking for an experienced Big Data Engineer to build analytics and ML platforms to collect, store, process, and analyze huge sets of data spread across the organization.
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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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You will have a good understanding of business intelligence tools, data warehouses, master data management, data integration, documents and content, data modelling and design, ML/Big Data, analytics and dashboarding.
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Build curated data models which will be used by data consumers to address business questions today and in the future, ensuring the data model is extensible and flexible. 3+ years of relevant experience working with data load and transformation tools which might include Airflow, Lambda’s, DBT, Presto, AWS Glue, or similar platforms.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
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Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments. Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence.
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) One Demand Data & Analytics (ODDA) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence.
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4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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Spotify uses a machine learning algorithm called BaRT, Big Data Real-Time, specializes in the clinical domain and works across biostatistics, clinical trials/research, data management, health economics/RWE, medical affairs, statistical programming, and other R&D areas within pharma and biotech.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes.
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big data jobs Title: business analyst Company: Teksystems Inc in Chicago, IL
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