Operations Engineer - Data Operations (CD - OEDO- 20261014) Celara# Operations Engineer - Data Operations (CD - OEDO- 20261014)CelaraBuenos AiresRemoteFull Time## DescriptionIn this role, you will join the IT Operations team as its data specialist, supporting the data that powers our freight and parcel audit, reporting, and client services. You will investigate and resolve data issues across our MSSQL databases, data pipelines, data warehouse, and Tableau (or similar) reporting, so that the business and our clients can rely on accurate data. The role combines hands-on data investigation with the team’s shared operational work, including application and infrastructure support, access and security, deployments, monitoring, and escalations, with steady collaboration with data engineers, software engineers, analysts, and client-facing teams. The idóneo candidate has advanced SQL skills, a methodical approach to isolating problems, and a strong commitment to data accuracy.What You’ll Do* Participating in the IT Operations team’s shared responsibilities, including application and infrastructure support, access and security requests, software deployments, alerting and monitoring, and escalations.* Investigating reported data issues by writing and running SQL queries, primarily in MSSQL, to identify missing, duplicate, incorrect, or inconsistent data.* Tracing data through ingestion, transformation, and loading steps and into the data warehouse to pinpoint where in the pipeline an issue is introduced.* Supporting Tableau (or similar) dashboards and data sources, troubleshooting refresh failures, data discrepancies,



and performance issues.* Monitoring data pipelines and scheduled jobs (e.g., Airflow, SQL Agent, Azure Data Factory), responding to failures and delays.* Performing root cause analysis on data incidents and documenting the cause, impact, and fix.* Correcting data issues safely and in a controlled way, following change management and data integrity practices.* Applying and promoting SQL and data best practices, including query optimization and performance troubleshooting of database workloads.* Working tickets in our support ticketing system for internal and external requests, keeping stakeholders informed through resolution.* Collaborating with data engineers, software engineers, analysts, and client-facing teams to reproduce issues, communicate impact, and verify resolutions.* Developing and maintaining scripts, queries, and runbooks for recurring investigations, using AI tools where they speed up analysis.## RequirementsRequired* Advanced, hands-on SQL skills, including complex joins, CTEs, window functions, aggregations, and query performance tuning for investigation and reconciliation.* Strong experience with Microsoft SQL Server (MSSQL).* Solid understanding of data warehousing concepts, including dimensional modeling, fact and dimension tables,



and slowly changing dimensions.* Hands-on experience with Tableau (or similar BI tools), including data sources, extracts, and troubleshooting dashboards.* Proficiency with data query tools such as SQL Server Management Studio (SSMS) or Azure Data Studio.* Understanding of data pipelines and ETL/ELT concepts, and experience troubleshooting them end to end.* Familiarity with workflow orchestration and integration tools (e.g., Airflow, Azure Data Factory, SSIS).* Proficiency in Python or PowerShell for data analysis and automation.* Familiarity with ticketing and ITSM workflows (e.g., Jira Service Management) and on-call or escalation processes.* Analytical mindset with a methodical approach to isolating problems.* Strong attention to detail and a commitment to data accuracy.* Excellent communication skills, including the ability to explain data issues to non-technical stakeholders.* Comfortable using AI-assisted tools as part of your daily workflow.* Comfortable working in a remote environment and collaborating with people across differen teams, areas, and ways of working.Preferred* Experience with PostgreSQL.* Experience with Azure data services.* Experience with freight, parcel, invoice, or other high-volume transactional data.* A degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.## Benefits* Competitive Compensation: Market-aligned salary package.* Professional Growth: Direct impact on product architecture and tech leadership.* Great Culture: Collaborative, low-friction, and high-performing environment.
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📌 Operations Engineer - Data Operations (CD - OEDO- 20261014) (Buenos Aires)
🏢 MotoTech
📍 Buenos Aires