Mid-Level Data Engineer

hace 2 días

Remote, Colombia Lean Solutions Group A tiempo completo

Description


Company 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 What you will be doing:

  • 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. Your skills will be honed, and your contributions will be vital to our continued success. Lean Tech is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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