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Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Experience leading Big Data engineering teams working in environments such as Hadoop and Spark. Confirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.
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Key Skills; Big data, AWS services and Data engineering. Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Immediate need for a talented AWS Big data Architect.
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Experience with cloud data warehouses like Databricks, Snowflake, Synapse, Redshift, Big query. We're looking for a Senior Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust.
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Job Purpose and Impact The Data Engineering Senior Supervisor will lead a small team of data engineering professionals to design, build and operate high performance data centric products or solutions through the use of modern engineering practices and technologies.
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As part of Data Engineering team, Informatica Developer will be part of the Data Management team responsible for developing and deploying Engineering and Integration solutions.
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Prior experience designing and developing event driven, high volume multi-tenant SaaS architectures and platforms, working with high volume data streaming tools preferably kafka streams, building data engineering pipelines and processing big data workloads.
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Knowledge of other enterprise backup software products such as Veritas Backup Exec, Commvault Simpana, Microsoft Data Protection Manager (DPM), IBM Spectrum Protect (Formerly Tivoli Storage Manager) is a big plus.
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2+ Experience in writing SQLs to get analytical data from Google Big Query or equivalent OLAP databases like Snowflake. This is an engineering role with responsibility for enabling cloud transformation and execution for GPC’s unified commerce platforms.
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5+ years of experience in Data engineering discipline implementing data lake, data warehouse, and Reporting & Analytics development (preferably on Azure) using Tools like Power BI or similar tool.
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Experience in Big Data and NoSQL technologies like Cassandra, Big Table, or equivalent. Specifically, this role will function as a hands-on engineer of a newly formed team to build the next generation commerce platforms for GPC. This is an engineering role with responsibility for enabling cloud transformation and execution for GPC’s unified commerce platforms.
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A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power has been delivering incisive industry intelligence on customer interactions with brands and products for more than 50 years.
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Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. At the direction of lead architects, develop and implement technical efforts to design, build, and deploy AWS applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Bachelor's or Master's degree in quantitative field, Engineering, Computer Science, Physics, Applied Mathematics, Statistics, Economics, or related fields.
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