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The SA Director works closely with an Enterprise Architect, Product Management and Release Train Engineer (RTE) to ensure ongoing alignment of technical and business outcomes. Typically, a minimum of 8 years work experience with architecture in some of the following technology: Google Cloud Platform (GCP), Big Query, Power BI, ThoughtSpot, Looker, QlikView, Tableau, and Business Object.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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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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At least 8 years of experience evolving Big Data ecosystems with hands on experience as a data engineer or DBA. 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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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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The Engineer is primarily responsible for end-user product development, deployment in production framework, data analytics technical support as well as leveraging best tools and techniques, and end-user training of new emerging analytics open source technologies.
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As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Data Engineer (II.
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Big Data Development experience using Hive, Impala, Spark and familiarity with Kafka. Significant experience developing and maintaining data warehouses in big data solutions (e.g., Snowflake, SAP Hana, Oracle, SQL Server, Teradata, etc.
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Developing and maintaining data warehouses in big data solutions e.g., Snowflake; developing solutions on cloud computing services and infrastructure in the data analytics space; leading the implementation and deployment of emerging tools and process for data engineering to measure quality; partnering with machine learning and business intelligence engineers to develop strategic enterprise projects.
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Strong Knowledge in Big Data Technologies, PySpark, thorough in one or more programming language like Python. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Expertise in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services. Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
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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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Will be at the helm of our Consumer Products Division's Culligan branded NA Retail business, leading the charge in product development, process optimization, and regulatory compliance, with a particular focus on consumer-focused water treatment and filtration systems.
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Ryan Specialty is looking for a Lead Data Engineer to join our Chicago, IL team. Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.
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As a Senior Software Engineer, will report to the Director, Software Engineering in the IT Department, joining a cross-functional, DevOps based, Agile team responsible for the entire product development life cycle, encompassing conception, discovery, framing, development, testing, deployment, measurement, and continuous improvement.
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