DATA Technical Support Engineer

Digital Dhara LLC

Chicago, IL, United States

25 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Airflow Amazon Web Services Amazon S3 JIRA Cloud Computing Databases Continuous Integration Data as a Services Information Engineering Extract Transform Load (ETL) Data Warehousing Software Debugging

+25 more

Distributed Data Store Apache Hive Identity and Access Management Python (Programming Language) Knowledge Management Performance Tuning Query Optimization Shell Script SQL Stored Procedures Data Logging Data Processing Sql Optimization Analytic Functions Git Data Lakes Pyspark Information Technology AWS Glue Data Management Cloudwatch Software Version Control Data Pipelines Servicenow Amazon Redshift Databricks

Requirements

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., * 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.