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Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus.
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Experience with Kubernetes and Docker and familiar with InfluxDB, Cassandra, RDS, Elasticsearch, Solr, Splunk. Knowledge of core Java - Collections API, Streams API, Concurrency, I/O. Knowledge in RDBMS and NoSQL (Cassandra, DynamoDb, Redis) databases.
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Responsibilities include: *Be primary point of contact for the data pipeline that involves Kafka, Hadoop, Cassandra etc and infrastructure components. Deep understanding and experience in one or more of the following - Docker, Mesos, Kubernetes, AWS, Ansible, Hadoop, Spark, Cassandra.
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Lead the team in designing and analyzing various A/B experiments within the search business, evaluating product optimization outcomes, assessing market activity impact, analyzing fluctuations in key metrics, and establishing data systems.
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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. Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Strong understanding of data processing technologies and distributed computing frameworks (e.g. Hadoop, Hive, Airflow, Spark, DBT, Kafka, Flink.
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The ASE Search team powers search for iTunes, App Store, Apple Music, Apple TV, Podcasts, Books and more on iOS, macOS, tvOS, watchOS, web browsers, 3rd party devices, and Windows. These are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
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Atleast 2+ years of experience with relational (mysql, postgres)/non-relational database systems (Cassandra, mongodb, cockroachdb etc.,) Excellent problem-solving skills, with data structures and algorithms.
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Data Infrastructure, Spark, Kafka, Presto, Flink, Hadoop, AWS, EC2, S3, RDS, IAM, Kubernetes, Python, Java, Cassandra. Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, and Hadoop in both on-premise and AWS environments.
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Lead the technical direction for search / recommendation query services, search indexing, data mining, Search algorithms, Visual Search & deep learning in the context of the next generation Search & Discovery platform for Adobe.
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We work with agencies and corporations across the country in the areas of Account Management/Client Services, Brand Strategy, Content and Digital Strategy, Traditional and Digital Media, Marketing Data Analytics, Search Marketing (PPC/SEO) and Social Media.
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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. Create efficient data messaging and access solutions for Kafka, Cassandra, and PostgreSQL databases.
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Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Python (Jupyter), R, Elasticsearch, Non-Relational DBs: MongoDB / Cassandra, Relational DBs: MySQL, SingleStore, Presto and Docker containers. ESSENTIAL DUTIES AND RESPONSIBILITIES:Develop and maintain software applications, Customized Data Decoders (ETL: Extraction, Transformation, Loading), web-based data analytics & visualization applications and machine learning models for machine-generated data sets.
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We are inviting talents to the Search team at Moveworks as interns for the summer of 2024, to join the effort of building a LLM-based enterprise copilot platform. At Moveworks, we build search technology to answer enterprise users’ questions instantly, by combining modern information retrieval, natural language processing, with the latest advancement in generative AI technology.
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