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Mid-level Data Engineer title, metro location, and broad cloud/security stack drive high competition.
Specialized cloud-data platform and security requirements moderately limit cross-industry transferability.
Explicit 5+ years plus mandatory cloud, Snowflake, and security controls makes shortlisting stringent.
Design, develop, deploy, and support scalable data pipelines, data models, and platform solutions in cloud environments.
Monitor, maintain, and troubleshoot data platform operations ensuring reliability, performance, and availability with focus on security and governance controls.
Build and manage CI/CD pipelines and support cloud-based data platform modernization, migrations, and operational excellence.
Bachelor’s degree in Computer Science, MIS, Engineering, Business Administration, or related field required.
Minimum 5+ years of relevant work experience in data platforms, cloud (AWS), and data integration.
Mandatory expertise with AWS services (EC2, S3, RDS, Lambda, Glue, IAM, Secrets Manager), Snowflake, ETL/ELT, SQL, REST APIs, API security, and monitoring tools (Grafana, Prometheus, CloudWatch).
Knowledge of security controls including IAM, RBAC, encryption, secrets management, credential rotation, and vulnerability management mandatory.
Experienced in secure cloud-native data engineering operations using AWS and Snowflake within enterprise environments.
Skilled in automation, CI/CD, incident management, and continuous improvement for data platforms under security compliance constraints.
Comfortable collaborating across technical and business teams in distributed or remote setups, with a strong security-first mindset.