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Exhibit expertise in Azure Databricks, Azure Data Lake, Ansible, SQL, Terraform, Kafka, and Azure CLI.Apply hands-on development experience using Databricks, with proficiency in Azure, AWS, or other cloud technologies.
$75 - $76 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA etc) Bachelor's Degree in Computer Science, CIS, or related field (or equivalent work experience in a related field.
$143,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Detail-oriented with a focus on data accuracy and quality. 5+ years of experience as a Workday HRIS Analyst, with hands-on experience in Workday HCM and other modules. Job OverviewPES is seeking a highly skilled and experienced Lead Workday HRIS Analyst to join our team.
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Knowledge of MicroStation, Trimble TBC, Leica Cloudworx, Cyclone and Carlson Civil Suite is a plus. Knowledge of 3-D Modeling a plus. A strong general computer knowledge is a plus.
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You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Functional understanding and familiarity with modern data platforms such as Databricks or Snowflake would be a big plus. Description: Mercer Wealth is currently seeking a skilled and hands-on professional to join our Global Data Team. In this role, you will have the opportunity to lead the development of an advanced analytics platform that will revolutionize how our business teams utilize data analytics to drive growth and enhance operational efficiency.
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The Director of Financial Planning & Analysis will take a holistic perspective that considers data, analytics and various dimensions of the business when approaching strategic business solutions.
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Full stack application development is a plus. 5 years of experience with JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services.
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Our challengeThis position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
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Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
$20 an hourWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Establish a culture of collaboration and excellence across business data, insights, and integration teams, ensuring quality and velocity. The ideal candidate will have a solid technical background in data lake architecture and product data management and extensive experience managing and delivering successful data analytics products.
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You will take responsibility for performing hands-on work required to integrate data sources across various enterprise systems and beyond into a unified data platform that allows for robust analytics, data science and day to day business reporting.
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Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka and object storage architecture. Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist.
$69.5 - $78.31ExpandApply NowActive JobUpdated 14 days ago
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