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6+ years of experience in Big Data and Data Engineering.
Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
Have strong programming skills in SQL, Python/PySpark etc.
Experience in the design and development of data pipelines, ETL/ELT processes.
Experience in one of the public cloud providers GCP, Azure, AWS.
Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.
Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer,
etc.
Comfortable using Azure DevOps or similar CI/CD tools, Git
Building Docker images and deploying them to Production. Integrate Docker container orchestration
framework using Kubernetes by creating pods, config Maps, deployments using terraform.
Strong problem solving and communication skills.
Bachelor's or an advanced degree in Computer Science or related engineering discipline.
Optionally have experience with C#, .NET core, and microservices
Job ID: 147534317
Skills:
Soql, Profiles, Permission Sets, Apex Programming, Git, Roles, Version Control Systems, Sosl, Salesforce data model and architecture, Salesforce security model, SOAP APIs
Skills:
Ssrs, Ssas, Power Bi, Apache Spark, SSIS, Python, Sql, Azure DevOps, Microsoft Fabric
Skills:
.Net Core, Oauth, PostgreSQL, PowerShell, SQL Server, Jwt, Functions, Microservices, Docker, MongoDB, Azure, Kubernetes, Python, Event Hub, Service Bus, Blob Storage, CosmosDB
Skills:
Sql, SEO, Application Architecture, UX standards, Sem, Machine Learning lifecycle, AI-coding assistants, JQL, Web performance infrastructure, Testing complex web and mobile apps
Skills:
.Net Core, SQL Server, Functions, Microservices, Jwt, Oauth, PowerShell, Rest Apis, Kubernetes, Python, Azure, Docker, PostgreSQL, MongoDB, Service Bus, CosmosDB, Event Hub, Blob Storage
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