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Architect, build, and deploy end-to-end data pipelines and modern data stack solutions for enterprise clients. Collaborate with cross-functional teams to optimize database performance and ensure data governance and quality standards.
Company Overview:
Global Technology Services 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 a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.
Position Title: Data Consultant
Category: Data Engineering & Analytics
Seniority: Senior
Location: India - Remote
What you will be doing:
We are looking for a Mid-to-Senior Data Consultant who thrives in an integrated, distributed team environment and brings deep, practical hands-on delivery experience. In this role, you will design, implement, and optimize modern data solutions across leading cloud and data platforms. You will work closely with clients to translate complex data requirements into scalable architectures, robust data pipelines, and actionable insights.
Key responsibilities
Architect, build, and deploy end-to-end data pipelines and modern data stack solutions for enterprise clients.
Collaborate within cross-functional distributed teams to deliver scalable data storage, transformation, and analytics workflows.
Optimize database and warehouse performance across cloud platforms (AWS, GCP) and enterprise data lakehouses.
Review client data architectures and deliver practical recommendations and technical solutions tailored to business needs.
Ensure data governance, security, and quality standards are maintained across all implementation cycles.
Required Skills & Experience
4+ years of hands-on experience as a Data Engineer, Data Architect, or Data Consultant in production environments.
Proven delivery track record with enterprise cloud data warehouses and platforms such as Databricks or Snowflake.
Strong proficiency in data pipelines, ETL/ELT processes, SQL, and programming languages like Python or Scala.
Hands-on experience working with major cloud platforms (AWS or GCP).
Excellent collaboration and communication skills in distributed, remote environments.
Fluent English (verbal and written).
Nice to Have Skills
Official certifications in Databricks, Snowflake, AWS, or GCP.
Experience with orchestration tools (Airflow, dbt, Dagster) and CI/CD for data pipelines.
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