Job Description
- We are looking for hands-on Data Infrastructure Engineers to support file movement, ETL operations, and Snowflake data-loading processes.
- The engineers will be responsible for building, maintaining, monitoring, and troubleshooting the infrastructure and operational workflows required for reliable data ingestion.
Job Responsibilities
- Build and support secure file-transfer and data-movement processes across source systems, integration platforms, cloud storage, and Snowflake.
- Support batch and scheduled ETL/ELT workflows used for Snowflake data ingestion.
- Configure and manage SFTP, managed file transfer, file shares, storage locations, encryption, certificates, connectivity, and access controls.
- Monitor file arrivals, transfer completion, job execution, data-load status, failures, latency, and SLA adherence.
- Troubleshoot failed file transfers, connectivity problems, permissions, scheduling issues, ETL failures, and Snowflake load errors.
- Implement restart, reprocessing, reconciliation, exception-handling, and recovery procedures.
- Develop scripts and automation for file validation, movement, archival, retry, and operational support.
- Build dashboards, logs, monitoring rules, and alerts for the complete data-movement and loading pipeline.
- Work with data engineering, Snowflake, security, network, infrastructure, and application teams.
- Create technical documentation, operational procedures, troubleshooting guides, and support runbooks.
- Participate in production support, incident resolution, root-cause analysis, and preventive actions.
Numbers & Facts
| Location | Albany, NY |
| Job Type | Contractor, Employee |
| Salary | $55–$60 Per Hour |
| Company Size | 51 - 200 |
| Year Founded | 2012 |
| Headquarters | Farmers Branch, TX, US |
| Website | https://www.donatotech.com/ |
Qualifications
Mandatory skills:
- Strong data infrastructure and production-support experience.
- Hands-on experience with file-transfer technologies such as SFTP, MFT or similar platforms.
- Experience supporting ETL/ELT pipelines and batch-processing environments.
- Working knowledge of Snowflake data-loading patterns and related operational processes.
- Experience with Linux/Unix, shell scripting or Python.
- Understanding of cloud storage, networking, authentication, encryption, certificates, and access management.
- Hands-on observability experience covering logs, metrics, dashboards, monitoring and alerting.
- Ability to work during EST hours and participate in production incident calls.
Preferred skills:
- SQL and database troubleshooting skills.
- Experience with Snowpipe, stages, COPY commands, task scheduling, and Snowflake monitoring.
- Experience with tools such as Informatica, Talend, Matillion, Airflow, Control-M or equivalent.
- Knowledge of AWS, Azure or Google Cloud.
- Experience with Splunk, Datadog, Dynatrace, Grafana, New Relic, CloudWatch or similar tools.
- Familiarity with ITIL incident, change and problem-management practices.
Benefits
Paid Time-Off, 401K, Medical, Dental, Vision
Skills
- Data Infrastructuure
- ETL
- snowflake
- LINUX
- UNIX
- Python Programming/Scripting Language
Skills
- Database Extract Transform and Load (ETL)unmatched
- Identify Issuesunmatched
- Snowflake Schemaunmatched
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