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Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization. Use agile software development processes to iteratively make improvements to our data management systems Identify opportunities for automation.
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Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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While you will not have formal line management responsibilities, as a principal you will be expected to lead, mentor others, and deputize for the director of data engineering when required.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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Experience Proven experience (5+ years) as a Senior Database Administrator, with a focus on Data Warehouse and Data Lake environments Technical Skills In-depth knowledge of database management systems such as Oracle, SQL Server, MySQL, or PostgreSQL. - Hands-on experience with big data technologies like Hadoop, Spark, and related ecosystems (e.g., Hive, HBase, Kafka.
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As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability. They will work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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What Could Set You Apart Familiarity with big data technologies such as Hadoop, Spark, and Kafka. Experience designing Data Warehouse/Data Lake, Cloud Based Technologies (AWS - Data Migration Service, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift / Spectrum.
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Our suite of services includes licensing and multimedia sponsorship management; publishing, audio, digital and social media; data analytics; ticketing, ticket sales and professional concessions expertise; branding; and campus-wide business and sponsorship development.
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Exercise sound judgment and fosters risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.
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Minimum 3 years’ experience with H&S in the construction industry, preferably with data center construction or large projects. Proficient with the management of high-risk activities including electrical safety, excavation, fall protection, material handling, and crane operations.
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Will also be responsible for managing patients diagnostics in manufacturer remote monitoring websites, analysis and management of transmission, entering data in the electronic medical record (EMR), maintaining the data integrity with the system, and having the judgment to direct to the EP Providers, when appropriate.
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Strong experience in Cloud services platform tech stack (Preferred experience in Google Cloud Plaform, Google BigQuery, Vertex AI, Gemini AI) and all the data life cycle stages. The Manager of Data Engineering role is organizationally under Finance & Accounting, within the Decision Support Tower.
$189,600 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
spark data management jobs Company: Capgemini Consulting in Atlanta, GA
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