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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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We are looking for full stack engineers who have knowledge on Java, cloud computing (AWS and GCP), Redis, elastic search, Mongo and relational DB. This fast-growing cloud service provides visibility and real time security for SaaS applications such as Box, Dropbox, GitHub, Google Apps, Slack, Salesforce and many more.
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Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora. Hadoop MapReduce, Cascading/Scalding, Apache Spark, AWS EMR. Database/Search – Oracle, complex SQL queries, stored procedures, performance tuning concepts, SOLR, AWS RDS, AWS Aurora.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Spark streaming, Kafka, Apache Storm, Flink NoSQL. HBase, Cassandra, MongoDB. Java (must), Python, Scala. Job Requirements Qualifications.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with SQL, Tableau, and Hyperion. In this position, you’ll own financial controllership and analysis on the $500M+ marketing budget spanning Lower Funnel (e.g. Paid Search, Affiliate, Direct Mail), Mid/Upper Funnel (Social, TV, Brand), CRM, and our Creative Studio.
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Strong SQL experience, preferably in BigQuery. Our core technology consists of our knowledge graph-based expert search engine, global knowledge marketplace, automated expert outreach platform, and full-spectrum client support system.
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4+ Experience in Database technologies, SQL, MySQL, Elastic search, Big Query, ETLs and framework development. 4+ Experience working on Big Data. Strong experience with Spark, Hive, Kafka, Apache NiFi, AWS, GCP.
$90,751 - $150,816 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Knowledge of Google Search, inclusive of product capabilities and systems and of measurement capabilities, including MMM, incrementality, SQL. As one of the masterminds behind our strategic planning, forecasting and analysis, you'll spend your time digging into big, complex data sets.
$101,000 - $147,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience building production systems with more modern ETL and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search. Implement data-related business logic on modern data platforms, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search using best practices and industry standards.
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2 years managing SEO at the enterprise level SQL and big data mining experience SEO technical experience SEO certification a big plus 3 years of agency experience or managing enterprise SEO campaigns 3 years’ experience SEM and SEO Experience developing and implementing SEO strategies, conducting technical audits and SEO problem solving.
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Experience with scientific computing language and big data knowledge, including Python, SQL, Hive, Hadoop, Spark etc. Onward Search is looking for a Data Scientist for our direct client in San Jose, CA.
$70 - $85 an hourExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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And experience with machine learning frameworks and tools with preferable experience in big data processing, e.g. Hadoop, SQL, Spark. End-to-end design, development and implementation of powerful algorithms and models for Natural Language Processing (NLP), Embedding Based Retrieval (EBR), semantic search, and machine learning to improve query understanding and retrieval.
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2+ years of experience of technology platform implementation using tech stack including Java, Springboot, Python, graphQL, Rest API , SQL. 6+ years of hands on experience in working on various backend systems like REST API's, graphQL, event based architectures, Spring boot, vertex, spring webflux, Rules engines like drool, RDBMS databases like Postgres, mySQL, NoSQL databases like elastic search, singlestore, couchbase, hbase, etc.
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