Techblocks, Inc.
Responsibilities
Use the latest technology to build data pipelines and integrate machine learning models
Build and expand our data platform
Develop applications that run on a Google Cloud-based infrastructure.
Qualifications
2+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a public cloud, preferably Google Cloud
Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam.
Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery.
Optionally, knowledge of Mongo and AlloyDB is a plus.
Comfortable using Azure DevOps or similar CI/CD tools, Git.
Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams.
Communicate effectively with technical teams and non-technical stakeholders.
Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination of education and experience.
Optionally, experience building Docker images and deploying them to a Production environment. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
Optionally, experience with C#, .NET core, and microservices
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Use the latest technology to build data pipelines and integrate machine learning models
Build and expand our data platform
Develop applications that run on a Google Cloud-based infrastructure.
Qualifications
2+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a public cloud, preferably Google Cloud
Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam.
Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery.
Optionally, knowledge of Mongo and AlloyDB is a plus.
Comfortable using Azure DevOps or similar CI/CD tools, Git.
Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams.
Communicate effectively with technical teams and non-technical stakeholders.
Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination of education and experience.
Optionally, experience building Docker images and deploying them to a Production environment. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
Optionally, experience with C#, .NET core, and microservices
#J-18808-Ljbffr