Senior Data Engineer

hace 7 días

Santo Domingo Este, Santo Domingo, República Dominicana Atdev A tiempo completo US$45,000 - US$75,000 al año

Job Description

We are seeking a highly skilled Senior Data Engineer & Analyst with deep, hands-on expertise in Microsoft SQL Server. This role is ideal for someone who can own data pipelines end-to-end—designing, optimizing, and maintaining complex SQL systems—while also delivering high-quality analytics, dashboards, and business insights.

You will work closely with operations, engineering, and business stakeholders to ensure the data ecosystem is efficient, reliable, and ready to support decision-making at scale.

Responsibilities

  • Design, build, and optimize ETL/ELT pipelines using SQL Server, SSIS, or similar tooling.

  • Develop highly efficient stored procedures, functions, triggers, and views for transactional and analytical workloads.

  • Architect and maintain data models, schemas, and data warehouses following best practices.

  • Perform data quality checks, validation routines, and troubleshoot data inconsistencies.

  • Create dashboards, reports, and KPIs using SQL Server Reporting Services (SSRS) or BI tools (Power BI preferred).

  • Optimize database performance: indexing, partitioning, query tuning, and monitoring.

  • Collaborate with cross-functional teams to understand data needs and translate them into scalable solutions.

  • Ensure security, compliance, and governance of data assets.

  • Lead and mentor junior engineers or analysts when needed.

  • Implement automation for repetitive tasks to improve efficiency and accuracy.

Requirements and Skills

  • 7+ years working with SQL Server in data engineering or data analytics roles.

  • Mastery of T-SQL, complex queries, and performance optimization.

  • Strong experience building ETL processes (SSIS, Azure Data Factory, or similar tools).

  • Solid knowledge of data warehousing concepts (star schema, dimensional modeling).

  • Experience with Power BI or similar BI tools for dashboards and visualizations.

  • Familiarity with Azure SQL, cloud migrations, or hybrid data environments.

  • Strong analytical mindset and ability to translate technical insights into business impact.

  • Excellent communication skills and ability to collaborate with non-technical stakeholders.

Preferred Qualifications

  • Experience in Azure Synapse, Databricks, or Python for data workflows.

  • Knowledge of APIs, data ingestion, and real-time streaming.

  • Background in building internal data platforms or self-service analytics.

  • Experience supporting operational teams (sales, staffing, finance, etc.).


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