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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Senior Lead Data Engineer. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. + Experience with microservices architectures and constituent technologies (Flask, gokit, Spring Cloud.
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. West Creek 8 (12080), United States of America, Richmond, VirginiaSenior Lead Software Engineer, Full StackDo you love building and pioneering in the technology space.
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Two years of full-time paid experience as a database architect or database administrator in the information technology industry designing, building, operationalizing, securing, monitoring, and maintaining Google Cloud Platform or comparable cloud computing platforms using applicable data infrastructure such as Google Cloud Storage, Google BigQuery, Google CloudSQL, and Google Cloud Run for data processing.
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Experience with BI tool and Database integration (e.g. Snowflake or other cloud db with Tableau, PowerBI, Google Looker Studio, Microstrategy etc.) Experience with high volume data processing using Snowflake, Redshift, Databricks, and other relevant cloud technologies and designing solutions for reliability and performance at scale.
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Expertise in database management systems (e.g., SQL Server, Oracle, MySQL) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform). Stay updated on industry trends and advancements in data management, cloud computing, and big data technologies.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Center 1 (19052), United States of America, McLean, VirginiaLead Software Engineer, Full Stack (JavaScript, Typescript, Node.js)Do you love building and pioneering in the technology space.
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Certifications in cloud services relevant to the job (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate.
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As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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4+ years of data warehousing experience (Redshift or Snowflake) 9+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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google cloud jobs Title: machine learning engineer Company: Red Hat in Mililani-town, Hawaii
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With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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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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