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Tier-1 employer, metro location, and mid-level generalist data-platform role drive high competition.
Core cloud and data engineering skills transfer across industries, but semiconductor manufacturing domain preference raises sensitivity slightly.
Explicit 5+ years plus mandatory cloud, Airflow, Terraform, Kubernetes, and data engineering skills increases selectivity.
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Design and build scalable data ingestion pipelines and workflow orchestration using Apache Airflow and cloud-native services across AWS and GCP.
Automate infrastructure provisioning and platform operations including Kubernetes/Docker containerized workloads, ensuring security, governance, and cost optimization at large TB-scale data workloads.
Collaborate cross-functionally with IT, AI, Data Science, and engineering teams to deliver reliable and efficient cloud data platform capabilities including schema management and incremental data processing.
Bachelor's degree in Computer Science, Data Engineering, Cloud Engineering, Information Systems, or related field.
Minimum 5 years of professional experience in data engineering, cloud engineering, platform engineering, DevOps, or infrastructure engineering.
Strong hands-on experience with Python, SQL, Terraform, Kubernetes, Docker, and cloud-native data services on AWS and GCP (e.g., Dataflow, Pub/Sub, Glue, Lambda, BigQuery, Redshift).
Experience implementing secure cloud infrastructure with IAM, RBAC, hybrid cloud connectivity, and deploying scalable ETL/ELT pipelines including schema management and data quality controls.
Experienced engineer skilled in multi-cloud (AWS and GCP) data platform architecture, especially for industrial or semiconductor manufacturing data domains.
Practitioner comfortable with infrastructure as code, container orchestration, and cloud automation leveraging CI/CD for operational excellence at scale.
Demonstrated ability to deliver cross-functional platform solutions involving AI, analytics, and manufacturing data integration with advanced data processing techniques such as incremental ingestion and change data capture.