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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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This is a support role for the Data Architect who is the technology leader and who will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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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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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. For Senior Data Engineer (III.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or KafkaExperience with designing and building cloud-based databases, data lakes, and data warehouses.
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JOB SUMMARY:The Data Engineer is a key member of WellNow’s Data Operations team. Expert Microsoft t-SQL and DAX development skillsExtensive experience using various data modeling techniques (Kimball, Inmon, or Data Vault)Experience using the Power Platform, particularly Power Bi and Power AutomateExperience in a multicloud environment, with a focus on GCP.
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. - Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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Expertise in R or Python Knowledge in multiple of the following programming languages: R, Python, Stata, SAS, SQL Experience in at least one of the following areas: natural language processing, GIS, and data visualization (especially interactive data visualization) SALARY AND BENEFITS: The pay range for this position is $88,000 – $157,000.
$88,000 - $157,000 a day (equity)ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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GCP Data engineer JD:Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teamsWork with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more business verticals.
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The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing.
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React, Redux, JavaScript, Java, Spring, SQL, REST API, Application Developer, Data Engineer, Single Page Applications, Data Visualization, UX, DX, Agile, TDD / Test-Driven Development.
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Intermediate (3+ years) experience building database models for data visualization tools such as Power BI, Sigma, Tableau, or Looker. Hands-on experience building data warehouses and data marts with cloud databases such as Snowflake, Redshift, Oracle ADW, Azure SQL Server.
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big data jobs Title: devops engineer in Chicago, IL
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