Data Engineering Analyst

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Enhanced data pipelines through automation, incorporating quality checks to guarantee data accuracy, consistency, and reliability across the entire data processing workflow, thereby reducing manual intervention and minimizing errors.

• Transition of legacy systems to modern systems, which includes comprehensive analysis, smooth data transfer, and integration to improve system performance while ensuring continuity without disrupting current operations.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field is preferred, but we greatly value equivalent hands-on experience!

• 4 to 7 years of experience as a Data Engineer.

• Experience with cloud-based data platforms and environments.

• Proficient in SQL with experience in data modeling for data warehouses.

• Strong Python skills (particularly in notebooks) for constructing and maintaining data workflows.

• Experience in developing and managing ETL/ELT processes.

• Familiarity with data warehouses utilized by reporting/business teams.

• Experience using Git/GitHub for version control in collaborative settings.

• Knowledge of data engineering best practices:

• Pipeline orchestration and dependency management.

• Fundamentals of data quality, validation, and monitoring.

• Practical experience in data migration:

• Schema mapping and transformation.

• Strong skills in data reconciliation and validation.

• Conducting data quality checks, integrity validation, and issue resolution.

• Managing backfills and historical data.

• Planning and executing cutover processes.

• Experience in building and maintaining automated data pipelines:

• Scheduling, orchestration, and handling failures.

• Ensuring workflow reliability, monitoring, and repeatability.

• Familiarity with Microsoft Fabric or the broader Microsoft Azure data ecosystem.

• Experience with orchestration tools like Apache Airflow, Azure Data Factory, or Fabric pipelines.

• Knowledge of data quality and observability practices:

• Validation frameworks, alerting, SLAs, monitoring.

• Experience in performance optimization within data environments:

• Query tuning, partitioning, indexing, cost optimization.

• Familiarity with modern data formats and large-scale processing:

• Parquet, Delta, incremental processing patterns.

• Experience integrating with external systems:

• REST APIs, authentication, retries, error handling.

• Exposure to CI/CD practices for data workflows:

• Git-based deployments, PR workflows, environment promotion.

• Effective communication skills: able to articulate data issues, trade-offs, and outcomes to both technical and business stakeholders.

• Strong sense of ownership and accountability: takes complete responsibility for pipelines, data quality, and results.

• Problem-solving attitude: capable of debugging complex data issues and navigating ambiguity independently.

• Collaborative spirit: works efficiently across engineering, analytics, and business teams.

• Adaptability: comfortable working in dynamic environments (migrations, changing requirements, new tools).

🏝️ Benefits

• USD Base Salary.

• Enjoy Paid Time Off (PTO) after just 6 months of service.

• Full-time opportunity.

• Experience the flexibility of a completely remote work environment!