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Colombia Jobs Expertini

Mid-Level Data & Analytics Engineer Job Opening In Colombia, Colombia – Now Hiring Lean Solutions Group


Job description

Overview

Lean Tech is a rapidly expanding organization situated in Medellín, Colombia.

We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors.

Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth.

Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.

We are seeking a Mid-Level Data & Analytics Engineer to join our client’s team and play a key role in building and maintaining scalable data solutions.

This position focuses on designing and managing data pipelines using Snowflake, DBT, Python, and GCP, while enabling business teams with reliable insights through Power BI.

Position Title: Mid-Level Data & Analytics Engineer

Location: Remote - LATAM

Responsibilities

  • Design, build, and optimize ELT pipelines for data ingestion and transformation.

  • Develop and maintain Snowflake data warehouse models to enable reliable reporting.

  • Implement and manage transformations in DBT.

  • Create and support Python-based data integrations within GCP for shuttling raw data into Snowflake.

  • Collaborate closely with data leaders and stakeholders to ensure accuracy, performance, and scalability.

  • Ensure data quality through validation, monitoring, and troubleshooting of pipelines.

  • Document data models, transformations, and system integrations.

  • Support BI and reporting needs by enabling downstream data availability for Power BI dashboards.

    Plus
  • Contribute to improving processes, proactively addressing gaps, and ensuring alignment with business expectations.

Requirements & Qualifications

To excel in this role, you should possess:

  • 3+ years in data engineering or backend systems with a strong data focus.

  • Hands-on experience with:
    • Snowflake (data modeling and warehouse optimization).

    • DBT (data transformation layer).

    • Python (for building data pipelines and integrations).

    • GCP (data ingestion/storage workflows).

  • Strong SQL skills for querying, modeling, and performance tuning.

  • Experience working with ELT data patterns.

Good To Have

  • Experience with Power BI (building dashboards, reports, or supporting stakeholders).

  • Exposure to iPaaS solutions (Digibee) — secondary, not a primary responsibility.

    Very big plus
  • Familiarity with additional BI tools (Tableau, Looker, etc.).

  • Experience presenting technical outcomes to customers or external stakeholders.

  • Knowledge of other cloud platforms (AWS, Azure).

  • Familiarity with AI and ML applications.

  • Exposure to data lake, streaming, or real-time processing architectures.

Soft Skills

  • Strong communication skills with the ability to explain technical concepts clearly.

  • Proactive, detail-oriented, and capable of independently managing tasks while aligning with team objectives.

  • Strong problem-solving mindset.

  • Sense of urgency in handling tasks and meeting deadlines.

  • Self-sufficient and able to work independently.

  • Reliable and dependable team member.

  • Passionate about data and data-driven decision-making.

  • Identifies and seeks out automation opportunities within existing processes.

Why you will love Lean Tech

  • Join a powerful tech workforce and help us change the world through technology
  • Professional development opportunities with international customers
  • Collaborative work environment
  • Career path and mentorship programs that will lead to new levels.

Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization.

Lean Tech is an equal-opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

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Unlock Your Mid Level Potential: Insight & Career Growth Guide


Real-time Mid Level 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 Mid Level in Colombia, Colombia, highlighting market share and opportunities for professionals in Mid Level roles.

2361 Jobs in Colombia
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Are You Looking for Mid Level Data & Analytics Engineer Job?

Great news! is currently hiring and seeking a Mid Level Data & Analytics 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 Lean Solutions Group 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 Mid Level Data & Analytics 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.

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Key qualifications for Mid Level Data & Analytics 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 Mid Level Data & Analytics Engineer Job Success

Lean Solutions Group interview tips for Mid Level Data & Analytics Engineer

Here are some tips to help you prepare for and ace your Mid Level Data & Analytics Engineer job interview:

Before the Interview:

Research: Learn about the Lean Solutions Group'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:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Mid Level Data & Analytics Engineer interview at Lean Solutions Group, 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 Lean Solutions Group'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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