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Required Certification/Licenses/Training: AWS Certified Solutions Architect (Professional or Associate) and/or Google Cloud Professional Cloud Architect or Google Cloud Data Engineer is a plus.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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With 150 + integrations across e-commerce, email, shipping, advertising, and subscription platforms, Glew’s Commerce Data Cloud provides technical data experts and business users comprehensive insights and actionable recommendations to make data-driven decisions and drive growth.
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You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Craft compelling value propositions: Demonstrate how our cloud data services (AWS, GCP, Azure, Snowflake, Databricks) deliver tangible business outcomes and competitive advantage.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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General Responsibilities: Florida’s Turnpike Enterprise (FTE) is looking to engage an experienced, professional, Azure/AWS Cloud Architect to assist FTE and guide us throughout the design, setup, implementation, and performance monitoring of Cloud Migration Programs.
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Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop. ; Software/Tools: AWS, Docker, Jira, VMware vCenter/vRealize, Kubernetes, Jenkins, Ansible, Prometheus, and Grafana; Cloud Native: AWS EC2, AWS CDK, S3, CloudWatch, CloudFront, CloudConfig, Elastic Container Services (ECS), DynamoDB, RDS, ElasticSearch, PowerBI, Tableau.
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Extensive experience as a Cloud Architect, with a focus on AWS, Azure, OCI, and GCP. SAIC is seeking a highly skilled and experienced Principal Cloud Chief Architect with expertise in multiple cloud platforms, including AWS, Azure, OCI, and GCP. As the Principal Cloud Chief Architect, you will be responsible for designing and implementing cloud solutions that align with our organization's strategic objectives.
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Stay updated on industry trends and best practices in business intelligence and data analytics. Proven experience (3 years) as a Business Intelligence Analyst or in a similar role with expertise in Microsoft Power BI.
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Cloud Certification, including AWS, Certified Solutions Architect Associate, Google Certified Professional – Cloud Architect, or MCSE: Cloud Platform and Infrastructure Certification.
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Responsibilities: Lead the design and implementation of cloud solutions across multiple cloud platforms, including AWS, Azure, OCI, and GCP. Operate and maintain cloud environments using Infrastructure as Code (IaC) and SRE principles.
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Chick-fil-A is looking for a Senior Network Engineering Lead - Cloud Transformation to expand and migrate our business processes and applications from an on-prem Data Center environment to sustainable cloud environments.
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JOB SUMMARY As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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business intelligence data quality aws cloud jobs Title: senior engineer
FEATURED BLOG POSTS
Virtual Reality Job Interviews
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.
A Potential TikTok Ban?!
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.
The Effects of Workplace Racism and Sexism
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?
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.
How to Increase Job Ad Exposure
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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When a student applies for their first job or for their next academic degree, they don’t have much experience to showcase their skills and personal qualities. Hiring managers and admissions officers, therefore, often look at recommendation letters as a way to go beyond the student’s GPA and learn more about the student’s skills and personal qualities.
What is Career Cushioning?
Is your organization prepared for “career cushioning”?