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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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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) As a Data Architect within the Core Data Services team, you will be responsible for the comprehensive solution and architecture of our Enterprise Data platform.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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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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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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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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Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics. We are currently seeking a dynamic and visionary Data Architect with a wealth of experience in Data & Information Solutions.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Remote Data Scientist. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Experience with the Big Data technologies is a plus (Redshift, Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc) Design and optimize the big data architecture, including data collection, data governance, data security, data warehouse, data application, algorithm application etc.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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big data jobs Title: big data architect Company: Wells Fargo
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