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Strong understanding of Google Cloud Platform services and their applications in data engineering and analytics, including Big Query, Vertex AI. Should have good experience in building and maintaining the infrastructure for data engineering pipelines on Google Cloud Platform and work closely with data engineering and software development teams to ensure smooth and efficient deployment and operation of data processing and analytics systems.
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A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Director, Software Engineering – QRM. Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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This role involves applying software engineering principles to automate data infrastructure operations, encompassing the deployment of Azure Data Infrastructure and Services (Infrastructure-As-Code - IaC), administration of the enterprise data lake utilizing the Snowflake data platform, and managing security protocols.
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Knowledge of data engineering & computing services within Azure's ecosystem (ADF, Gen2 Datalake, Azure Data Fabric & Databricks integrations) would be highly valued. Experience with Cloud computing platforms and toolchains with big data analytics (e.g. Snowflake, DBT, Tableau Prep), with practical experience in integrating cloud services with conventional hosting/delivery models is considered an asset.
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Minimum of 10 years of experience in backend software development, with a strong focus on data engineering and big data technologies. Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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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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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Proficiency in using multiple data engineering tools and technologies, like Python, Matillion, Databricks, SQL and cloud-based pipelines. 8+ years of direct experience in Big Data, Data Warehousing, Data Analytics, and/or Information Management related projects, Snowflake preferred.
$124,100 - $206,900 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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What you’ll bring to Circle:For Data Engineer (II) 2+ years of professional data engineering experience. Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field and six (6) years of experience as a Director, Software Engineering (or closely related occupation) designing, developing, and testing highly scaled, secure daemon and Web applications in Linux environments.
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Experience in data science, statistical analysis and modelling data using leading Artificial Intelligence and big data tools (e.g. TensorFlow, R, Python, Azure SQL Server & ML Studio, Databricks, Python Power BI, etc.
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Use a data science approach with materials science principles to develop and execute design of experiments using computational materials software (ICME) As an integral member of the Materials Engineering team at Honeywell Aerospace, the Shot Peen & CNC Machining Engineer will lead aerospace level functional groups in surface enhancement, conventional and nonconventional machining, and engineering substantiation/source approval.
$121,000 - $151,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Partner with Data Science, Product, and Engineering to collect requirements to define the data ontology for all of Roblox. The Data Engineering team at Roblox plays a fundamental role in enabling the company's success by developing and maintaining highly leveraged Core Data Sets, frameworks, and tooling to support the growing demand for analytics.
$283,780 - $331,640 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
big data software engineering jobs Title: big data engineer Company: Synopsys
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