Sr. Database Engineer

Sr.DatabaseEngineer-Operations

Colombia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Database Engineer - Operations at Sr. Database Engineer. Skills: SSIS, T-SQL, SQL Server, Azure Data Factory. Support SSIS workflows. modernization efforts”

What You'll Achieve.

reliable operation of client data feeds; overall health of SQL Server environments; ensure data quality; impact of your work on client and company success

Industry & Context.

Problems you'll solve

Advanced problem-solving; Critical thinking; problem-solving skills; resolving production issues

Eligibility Requirements

participate in on-call rotation

What They're Looking For.

Must Have

T-SQL, Microsoft SQL Server 2016 or above, operational support for SQL Server, backups/restores, environment refreshes, index and statistics maintenance, disk configuration, query/workload performance tuning, ETL tools, SSIS, production pipelines, job feeds, analyze existing schemas, stored procedures, design targeted SQL scripts, safe, auditable operational data updates, exception handling, Git-based source control, CI/CD tooling, database and ETL deployments, Advanced problem-solving, communication skills, team player, collaborates effectively, Good time-management skills, interpersonal skills, service-oriented mindset, Sense of ownership, pride in system reliability, Critical thinking

Nice to Have

VB Script, C#, .NET, Azure Data Factory, Azure Cloud, MCSA, MCSE, MCDBA certifications

What You'll Do.

Support SSIS workflows

modernization efforts

Manage SQL Server environments

Develop ETL processes

Implement monitoring/alerting

Propose tooling improvements

How You'll Work.

Team & Collaboration

partner across engineering; partner with DevOps teams; collaborates effectively across engineering; collaborates with operations; collaborates with business teams

Communication Scope

explain technical issues clearly; to technical stakeholders; to non-technical stakeholders

Process & Methodology

balance reactive ticket work, proactive improvement initiatives

Full Job Description

Job Description We are looking for someone who can support our current SSIS-based environment while also helping modernize our data integration approach over time. This role offers the opportunity to contribute to the evolution of our data stack, including future-state work related to Azure Data Factory and broader ETL modernization efforts. This role will support existing SSIS pipelines while also playing a key role in the team’s longer-term modernization efforts. We are looking for someone who is excited by the opportunity to help shape future-state ETL architecture, including the transition toward Azure Data Factory and more modern data integration capabilities. Support and enhance current SSIS workflows while contributing to ongoing modernization efforts toward Azure Data Factory and related ETL tools. The Database Engineer – Operations is responsible for the reliable operation of client data feeds and the overall health of our SQL Server environments, with a strong emphasis on SSIS workflows and T-SQL. **Essential Duties and Responsibilities** **Operational Support for Data Feeds** Own day-to-day operations of SSIS-based ETL feeds, resolve tickets for jobs and data anomalies, and maintain alerting strategies aligned with architectural standards. **Data Investigation and Operational Data Updates** Analyze database structures and business rules, then design and execute targeted SQL scripts for accurate, auditable data updates. **Database Administration & Environment Management** Manage backups, restores, and environment refreshes; perform index/statistics maintenance; and contribute to capacity and scalability planning. **Performance Tuning & Query Optimization** Review and tune T-SQL queries, stored procedures, and views; analyze execution plans; and provide guidance on indexing and SQL best practices. **Data Engineering & Integration** Develop and support ETL processes using SSIS and/or Azure Data Factory, ensuring data quality through validation, reconciliatio

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