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SQL Senior / Data Engineer + Power BI (L2) .
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
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Languages
- English
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