DATA Technical Support Engineer

DATA Technical Support Engineer

Chicago, IL- Onsite (Local Preffered)

• Strong hands-on experience with AWS data services, particularly AWS Glue, Amazon Redshift, Amazon S3, IAM, and Amazon CloudWatch.
• Strong proficiency in PySpark, Spark SQL, and distributed data-processing concepts.
• Hands-on experience supporting and troubleshooting Databricks jobs, notebooks, workflows, clusters, and runtime environments.
• Advanced SQL skills, including complex joins, analytical functions, stored procedures, query-plan analysis, and performance tuning.
• Strong debugging and problem-solving ability across data pipelines, application code, job orchestration, databases, and cloud infrastructure.
• Experience with ETL/ELT processing, data warehousing, data lakes, data-quality controls, reconciliation, and large-volume data handling.
• Knowledge of Redshift workload management, distribution and sort keys, query optimization, connectivity, and operational troubleshooting.
• Experience using monitoring, logging, alerting, and ticketing tools for production support and incident management.
• Working knowledge of Git-based version control, CI/CD processes, deployment practices, and environment promotion.
• Familiarity with Python or shell scripting for diagnostics, automation, and operational tooling.

Required Professional Skills

• Excellent customer-facing communication and stakeholder-management skills.
• Proven ability to coordinate effectively between onsite stakeholders and offshore delivery teams across time zones.
• Strong ownership, prioritization, and decision-making skills in high-pressure production situations.
• Ability to explain technical issues, business impact, workarounds, and resolution plans to both technical and non-technical audiences.
• Strong documentation, analytical, and attention-to-detail skills.
• Ability to work independently at the customer site while maintaining close alignment with the wider engineering organization.

Qualifications and Experience

• 6 8 years of overall experience in technical support, production support, data engineering, or a related discipline, including substantial L3 support responsibilities.
• Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field.
• Demonstrated experience working onsite at a customer location and coordinating with offshore teams.
• Proven experience supporting business-critical data platforms in production environments.

Preferred Experience

• AWS or Databricks certification.
• Experience with Airflow or AWS Managed Workflows for Apache Airflow, AWS Step Functions, Lambda, or similar orchestration services.
• Exposure to ServiceNow, Jira, or comparable IT service-management platforms.
• Experience defining SLAs, operational metrics, knowledge-management practices, and continuous-improvement initiatives.
• Experience in a regulated or large enterprise customer environment.