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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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If you are a driven, detail-oriented data scientist with experience in model risk management (OCC standards), who thrives on building and deploying complex machine learning models at scale, we'd love to hear from you.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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This role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. The ideal candidate is someone who has a prior record of managing teams, executes company-wide data strategy, and loves the intensity of a high-growth startup.
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2+ years of experience working with cloud service providers (AWS Azure GCP) and corresponding cloud-native security services Data security/protection conceptual knowledge and experience in implementation of data security capabilities such as encryption tokenization data masking RBAC ABAC auditing & monitoring in any of the industry leading tools such as Immuta Protegrity Microfocus Voltage Vormetric Imperva SecuPi Privacera Thales etc.
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Demonstrated experience on at least three of the following key services: Big Query, Composer, Vertex AI, DataProc, Data Catalog, Notebook. Wells Fargo is seeking a Senior Specialty Software Engineer within the Application and Cloud Transformation Platform Engineering team to deliver services that provide data analytics, AI/ML, and data movement.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
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We deliver a blockchain intelligence data platform to financial institutions, crypto companies, and governments to fight cryptocurrency fraud and financial crime. As a Data Science Senior Manager at TRM, you'll assume full responsibility for developing custom models, algorithms, and data products integral to enhancing TRM's UX. Working closely with a skilled team of engineers, data scientists, and research scientists, your objective will be to unearth valuable and defensible insights essential for detecting, preventing, and mitigating cryptocurrency fraud and financial crime.
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As part of this role, you'll work on designing cloud native solutions and will have the opportunity to work on emerging technologies such as: AWS, Java, Python, Endpoint technologies, Big Data technologies, to name a few.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ML workloads.
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Elevate your career to new heights as a Senior U.S Tax Senior Manager at our client's Big 4 prestigious accountancy firm in the Cayman Islands! Certification as a U.S. Certified Public Accountant (CPA) or IRS Enrolled Agent (required.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Job Requirements Strong emphasis on system IGA monitoring strategies within data centers, Cloud expertise in containerization (Kubernetes), CI/CD pipelines, and a solid understanding of IGA applications and cloud architecture principles (AWS, GCP.
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Data Science Manager – Marketing & Strategy Sia Partners is a next-generation management consulting firm. Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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big data jobs Title: sr data engineer in San Francisco, NM, Wyoming
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The Effects of Workplace Racism and Sexism
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).