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Senior Data Engineer Job Opening In Colombia, Colombia – Now Hiring Level60 Consulting


Job description

We are seeking an experienced Senior Data Engineer specializing in data integration and ETL/ELT development to join our dynamic team.

This role focuses on building robust data pipelines, managing complex data transformations, and implementing scalable data solutions across multiple platforms and technologies.

Key Responsibilities:

Data Integration & ETL Development:


• Design, develop, and maintain ETL/ELT processes using modern tools including Azure Data Factory, Apache Airflow, dbt, SSIS, and Databricks.


• Build and optimize data transformation workflows to ensure efficient data processing and quality.


• Implement data integration solutions across various source systems and target platforms.


• Develop automated data pipelines that support business intelligence and analytics initiatives.

Database Management & Development:


• Work with multiple database platforms including SQL Server, Oracle, PostgreSQL, MySQL, SQLite, and MongoDB.


• Design and implement stored procedures, functions, and complex queries for data processing.


• Perform database optimization and performance tuning.


• Manage Snowflake environments including querying, data masking, and Cortex functionality.

Team Leadership & Project Management:


• Lead data integration development teams and mentor junior developers.


• Manage end-to-end data integration projects from requirements gathering to deployment.


• Define and implement company-wide standards for ETL development and data management.


• Create comprehensive technical and functional requirements documentation.

Data Governance & Quality:


• Implement Master Data Management (MDM) solutions.


• Establish data quality standards and validation processes.


• Ensure data security and compliance with organizational policies.


• Design and implement data masking and privacy protection measures.

Reporting & Analytics:


• Build reports and dashboards using Excel, Power BI, Hyperion, and Cognos.


• Support business intelligence initiatives with reliable data delivery.


• Collaborate with stakeholders to understand reporting requirements.

Required Technical Skills:

Programming & Scripting:


• Python: Advanced proficiency with pandas, NumPy, LangChain, Selenium, BeautifulSoup.


• SQL: Expert-level SQL development and optimization.


• Jinja: Template engine for dynamic SQL generation.


• Shell scripting for automation tasks.

Data Platforms & Tools:


• Cloud Platforms: Azure (Data Factory, DevOps), Databricks, Snowflake.


• ETL Tools: SSIS, Apache Airflow, dbt (data build tool).


• Databases: SQL Server, Oracle, PostgreSQL, MySQL, MongoDB.


• Data Formats: JSON, CSV, XML, YAML, Parquet, Excel/TXT files.

DevOps & Version Control:


• Git & GitHub for source code management.


• Azure DevOps/TFS for project management and CI/CD.


• Master Data Services (MDS).


• Linux and Windows operating systems.

Required Experience:


• 5+ years of experience in data engineering and ETL development.


• 3+ years of hands-on experience with cloud-based data platforms (Azure, Snowflake, Databricks).


• 2+ years of team leadership experience in data integration projects.


• Proven track record of managing complex data integration initiatives.


• Experience with Master Data Management implementation.

Preferred Qualifications:


• Bachelor's degree in Computer Science, Information Systems, or related field.


• Experience in financial services, insurance, or similar regulated industries.


• Certification in Azure Data Engineering or Snowflake.


• Experience with modern data architecture patterns (data mesh, lakehouse, etc.).


• Knowledge of data governance frameworks and best practices.

What We Offer:


• Opportunity to work with cutting-edge data technologies.


• Leadership role in defining data engineering standards.


• Remote work flexibility.


• Professional development opportunities.


• Collaborative team environment focused on innovation.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Colombia, Colombia, highlighting market share and opportunities for professionals in Senior Data roles.

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Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Level60 Consulting adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Colombia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Engineer?

Key qualifications for Senior Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Senior Data Engineer Job Success

Level60 Consulting interview tips for Senior Data Engineer

Here are some tips to help you prepare for and ace your Senior Data Engineer job interview:

Before the Interview:

Research: Learn about the Level60 Consulting's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer interview at Level60 Consulting, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Level60 Consulting's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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