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Background in Data Science, Data Engineering, Software Development, Cloud Computing or related discipline. 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
$118,200 - $204,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and develop data solutions, such as data warehousing on Big Data platforms using ETL and visualization tools. Strong SQL command and the ability to write complex queries on big data sets.
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Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right. Your personal data will be shared with Lacework’s subprocessor Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Lacework to help manage its recruitment and hiring process on Lacework’s behalf.
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Mulesoft experience is a big plus. Propose best technologies for data processing and data framework. Mulesoft experience is a big plus. Experienced with Client SOAP API, REST API, and BULK API.
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Preferred knowledge and hands-on experience working with Hadoop Ecosystem and Big data technologies like Hive, Kafka, Hbase, NIFI and Data processing framework such as Spark. Hands-on experience with Data modeling, normalization, processing with Spark and SQL and Spark performance tuning knowledge.
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Our team has deep expertise in high performance computing, big data technologies, cloud infrastructure and machine learning. Today's data tooling (Spark, Presto, Snowflake) was built for a world of tabular data analytics, but does not generalize to the needs of modern ML/AI such as multimodal data, heterogenous compute and user-defined Python algorithms.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Improve and build solutions to address architectural gaps or technical debt. Expert in Apex, Lightning, VisualForce, SOQL/SOSL, and Javascript. Experienced with at least 1 of the following languages: Java, Go, Python.
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7+ years experience with strong SAP S4/HANA, HANA Modeling, SQL Skills, and big data with enterprise data warehousing experience. Experience with big data technologies like Azure and Data Bricks is a plus.
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Knowledge in Data structures, OOPs concepts, json/DB modeling. Able to define, document and communicate, middleware and back-end architectures. 5+ years experience in software development using Python and cloud application development.
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Experience working with cloud or on-prem Big Data platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar) · Experience with Big data tools / technologies/ Streaming (Hive, Impala, OOZIE, Airflow, NIFI, Kafka.
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3+ years of data engineering technology experience (Data Warehouse, Data Lake, Teradata, Big Data, etc.) Additionally, these applications empower supporting functions such as production engineering by providing necessary data and insights to optimize processes, identify bottlenecks, and drive continuous improvement initiatives.
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Experience with Continuous Integration Tools (Jenkins, TeamCity, Bamboo) and Test-Driven Development (TDD) a big plus Experience with Red Gate Tools a plus (SQL Source Control, SQL Compare, SQL Data Compare, DLM.
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The Big Data team at ExactTarget is responsible for delivering scalable and reliable systems and frameworks that cut across the product development organization. Strong foundation in data structures, algorithms, and software design.
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A large utility company is seeking a Workday Programmer to create, modify, and extract data from PeopleSoft software to Workday. Extracting, cleaning, transforming, and loading data from PeopleSoft to Workday.
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big data jobs Title: developer in Oakland, CA
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