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Niche DataOps and IaC/cloud specialization limits applicant density compared to generalist engineering roles.
Medium because DataOps skills transfer across sectors but require specific cloud and pipeline experience.
Moderate due to required cloud, DataOps, IaC and pipeline tooling but no explicit years requirement.
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Design and manage data pipelines for ingestion, storage, and processing of large datasets on public cloud platforms.
Implement and automate continuous delivery and CI/CD practices for data workflows and infrastructure.
Collaborate with data scientists and analysts to provide accessible, trustworthy data through sandbox environments and managed access controls.
Experience with Python or Scala for processing data on frameworks like Dataflow, Spark, or similar.
Proficient in SQL and working knowledge of cloud databases such as Athena, BigQuery, or Snowflake.
Familiarity with Infrastructure-as-Code tools like CloudFormation, Azure ARM, or Terraform.
Work Experience Required: Not explicitly mentioned in the JD
Expertise in DataOps and cloud-based data engineering with a focus on continuous integration and delivery.
Experience working in agile teams with developers, designers, and data scientists in a collaborative environment.
Strong operational orientation towards building scalable, automated data pipelines and enabling data democratization with IAM.