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Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Apache Spark : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Spark, Hadoop). As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
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5+ years of experience in engineering data solutions using big data technologies (Hive, Presto, Spark, Flink) on large-scale data sets. [Full Time] Founding Engineer: Data Infrastructure (Senior & Staff) at Tarsal (United States) | BEAMSTART Jobs Founding Engineer: Data Infrastructure (Senior & Staff) Tarsal United States.
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Below are some example projects:Apache Spark: Develop the de facto open source standard framework for big data. 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.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.
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Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.
$149,200 - $248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks.
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LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts.
$144,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
$182,400 - $247,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You will be part of the ServiceNow Cloud Services Big Data Team. The Big Data team is building the next-generation platform that collects, stores and provides real-time access to large amounts of data.
$142,700 - $249,800 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. 5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies.
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The Big data engineer will create the next generation of Zscaler's security analytics platform. Working with data processing frameworks such as Spark, Kafka, Elasticsearch for 2+ years.
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As a Staff engineer in the Core Metrics team, you will have the opportunity to work on the design and implementation of big data systems, working with petabytes of data and billions of transactions in real-time.
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Previous experience building out modern cloud based data warehouses like Big Query, Snowflake, Databricks etc. 8+ years of experience as a Staff or Senior Data Engineer/Architect.
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big data jobs Title: staff engineer data
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