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Proficient in SQL and experienced with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse). Familiarity with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of SQL and one or more big data warehouse technologies e.g. Snowflake, Databricks, Redshift. Experience with delivering large scale enterprise applications using big data tech such as S3, Hadoop, Spark.
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Anchored by big data management and refined by artificial intelligence and machine learning, the Anomali platform delivers proprietary capabilities that correlate an extraordinary volume of telemetry from customer-deployed security solutions with the largest repository of global intelligence, empowering security operations teams to detect threats with precision, optimize response, achieve resiliency, and stop attackers and breaches.
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Software development experience in big data technologies Databricks, Hadoop, Hive, Spark(PySpark) Expertise in developing big data pipelines using technologies like Kafka, Storm.
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Advanced competency and expertise in several Data ETL (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)Advanced competency and expertise in several Analytic Languages (R, SAS, SPSS, Stata)Big data processing techniques, preferredRetail, customer loyalty, and eCommerce experience, preferred As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
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Prior experience with Big Data tools like Spark, Hive, EMR, or Presto is necessary. Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and develop distributed data processing pipelines in the Big Data ecosystem in the Cloud, apply data concept, modeling, structures, and infrastructure technologies and adhere to good engineering practices.
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We believe the successful candidate has these qualifications and experience: Bachelor's or Master's degree (preferred) in a quantitative discipline (Information Systems, Statistics, Economics, Mathematics, or equivalent experience 2+ years working experience in data analysis or financial modeling Advanced proficiency in SQL and a relevant database platform (Snowflake, Teradata, Databricks, Intermediate experience working with GCP services (Big Query.
$108,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. - Responsible for improving the workflow of model training and serving, data pipelines and resource management for multi-tenancy machine learning systems.
$139,650 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team focuses on internal tools relating to OLAP DBMS, logging and data ingestion infrastructure, A/B testing for all product and feature launches, workflow management, distributed cache, data visualization tools, and big data engineering, which supports TikTok's business products.
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Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
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Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$297,400Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big 4 consulting experience and expertise in process improvement methodologies such as Kaizen or Six Sigma are a plus. The Senior Internal Auditor will lead end-to-end financial, operational, and compliance audits across AWS, leveraging large data sets to provide valuable insights.
$60 an hourFull-timeExpandApply NowActive JobUpdated Today
big data jobs in Seattle, Bentonville, Kansas
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