• 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.

Roles &amp; 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

Data Engineer

India

• 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. Roles &amp; 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

Data Engineer · Apollo

Job highlights

Skillset required

Job Description

Job Description for Data Engineer

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