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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
$152,000 - $206,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense.
$126,000 - $170,500ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. Data Hadoop Engineer. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Big Data/analytics/information analysis/database management in the cloud.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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We’re looking to expand our Big Data Engineering team to keep pace. 5+ years’ experience in large-scale software development/Big Data technologies. Client is embracing Big Data technologies to enable data-driven decisions.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. You will be working on projects that build data artifacts to answer questions about consumer behavior, commerce trends, consumer touchpoint preferences and more.
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Take part in DevOps by building utilities, user defined functions and frameworks to better enable data flow patterns. You will collaborate with Product managers, Data Scientists, Engineering folks to accomplish your tasks.
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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
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Design, Develop, Modernize/Migrate pipelines to Databricks. US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. Programming skills in Java/Scala, Python, Shell scripting, and SQL.
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Experience in Business Rule management systems like Drools will also come in handy. Development skills around Hadoop, Spark, PySpark, Hive. Beaverton OR – Remote for some time - candidate open to relocating to be onsite in the future.
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MS/BS degree in a computer science or related discipline. Work with architecture/engineering leads and other teammates to ensure high quality solutions through code reviews, engineering best practices documentation.
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Develop applications on Cloud preferably AWS. You will be given the opportunity to own the design and implementation. Adil Saifi - Team Lead (IT Recruitment) 2+ Months Contract (Possible Extension) Fax: (201) 524 9601.
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As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data infrastructure and systems. 8+ years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
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Title: big data engineer Company: Intuit
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