Description

Trinetix is looking for a skilled Senior Data Support Engineer (SQL / Power BI)

Join our team at Trinetix and collaborate on a project with a leading transportation and logistics company in North America, operating a large-scale fleet and relying on complex data platforms and real-time analytics.

In this role, you will contribute to maintaining and improving critical data infrastructure by ensuring stability, reliability, and performance of data pipelines and reporting systems.

You will work with cloud data platforms, ETL/ELT pipelines, and BI tools, supporting business operations through efficient troubleshooting, monitoring, and data processing.

The role combines strong SQL expertise, data engineering practices, and a production support mindset to ensure high-quality data operations and business continuity. Join us and grow your career in a dynamic international environment while working on large-scale data systems.

Role Overview

The SQL Senior / Data Engineer owns the data and analytics support queue and is responsible for monitoring, troubleshooting, and resolving failures across cloud data platforms, ETL/ELT pipelines, and Power BI reporting.

The role also includes handling SQL-level data fixes and record corrections escalated from application support queues.

Note: Minimum 5 years of relevant experience is required per contractual staffing requirements.

Responsibilities

• Own the data and analytics support queue: pipeline failures, ETL/ELT errors, Power BI dashboard issues
• Monitor and remediate data pipelines across Azure and AWS environments
• Write and execute SQL scripts for data fixes, record corrections, and diagnostic queries
• Support Snowflake and Databricks: query optimization, job failure diagnosis, cluster management
• Maintain CI/CD pipelines supporting data operations (Tier 1 monitoring, Tier 2 remediation)
• Handle SQL-heavy overflow tickets from application support queues (HUB-Report, data corrections)
• Coordinate with client data team on schema changes, pipeline updates, and capacity planning
• Perform minor data platform enhancements as assigned (up to 80 engineering hours)
• Support vehicle telematics data infrastructure and related ingestion pipelines

Required Technical Skills

Cloud & Data Platforms

• Azure: Data Factory, Azure SQL, Synapse Analytics — 5+ years required
• AWS: S3, RDS, Glue — data pipeline and infrastructure support

Data Engineering & Pipelines

• Snowflake: query writing, data loading, performance troubleshooting, Snowpipe
• Databricks: notebook execution, cluster management, job failure diagnosis, Delta Lake basics
• Pipeline tools: Apache Airflow or Azure Data Factory — DAG/pipeline monitoring and repair

BI & Reporting

• Power BI: dashboard connectivity, data source troubleshooting, refresh failures, DAX basics

Programming & Tools

• SQL: advanced — complex queries, stored procedures, performance tuning across SQL Server and cloud DBs
• Python: scripting for data transformation, automation, and diagnostic tasks
• Version control: GitLab — CI/CD pipeline basics for data workflows

Experience

• 5+ years in data engineering or data platform support (mandatory)
• Hands-on experience with at least 3 of: Azure, AWS, Snowflake, Databricks
• Production pipeline support experience is strongly preferred

Language Requirements

• English - required (all tickets, escalations, client communication)

On-Call Requirements

On-call rotation - data incidents

• Covers P1/P2 data pipeline and platform failures outside business hours
• Shared rotation between Ukraine and Argentina Data Engineers (approx. every other week per person)
• Activation required when critical pipeline failures impact business operations or reporting
• Response expected within 1 hour of activation
• On-call compensation applies per company policy

What we offer

• Continuous learning and career growth opportunities
• Professional training and English/Spanish language classes
• Comprehensive medical insurance
• Mental health support
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
• Flexible working hours
• Inclusive and supportive culture