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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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This is a great opportunity to work directly their core platform (Python, Django, Flask, AWS) and build out greenfield products used by hundreds of thousands of customers daily. The Role ✨They are seeking a skilled Engineer (Python, Django, Flask, AWS) to be responsible for the integration and scaling up of their data platforms.
$150,000 - $180,000ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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Develop robust and scalable web applications tailored for the financial services sector using Python (Django/Flask) and JavaScript (jQuery/React/Node) 5+ years of experience in application development with proficiency in Python (Django/Flask) and JavaScript (jQuery/React/Node.
$70,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). Proficient in one or more programming languages (Java, Scala, Python). Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Experience with campaign analyses working within digital platforms including Google Ads, DV360, Facebook, Amazon, TikTok, Twitter, SnapChat. Technical abilities include the following: SQL, Tableau, Python/R, Business Intelligence (BI) best practices.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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While specific Azure expertise is preferred, candidates with experience in other cloud platforms (e.g., AWS, Google Cloud) are encouraged to apply. Certification(s) in cloud technologies (e.g., Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect.
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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. 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Minimum of 5-6 years experience of solid scripting skills in PowerShell, cloud formation, shell scripts, Perl, Python, JavaScript. Minimum of 5-6 years' experience of solid scripting skills in Python, PowerShell, Terraform, Ansible, Cloudformation, Shell/Bash scripts, JavaScript.
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2+ years spearheading cloud-driven product strategies on MS Azure, and Snowflake, with mastery in IAC and PAC principles. NET, Python, SQL, with a good grasp of DevSecOps. Additionally, you will lead the charge in modernizing our platform to the cloud, leveraging your technical acumen to harness the scalability, flexibility, and efficiency of cloud platforms like MS Azure and Snowflake offer.
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C#, Shell Script, Python, and SQL; utilizing Cloud Services including Amazon Web Services, Azure, or Google Cloud Services to secure services and provide development support; utilizing virtualization environments to create and manage virtual machines, including VMware ESXI and Virt-Manager; and integrating Network Attached Storage (NAS) and Storage Area Network (SAN) devices.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
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