Senior Data Engineer
Summary
Junior Data Engineer (hiring for Coforge) who builds and maintains dbt models to transform raw data, optimizes pipelines, and monitors data quality in SQL-based warehouse/ETL workflows. Fully remote across Bolivia, Colombia, Costa Rica, and Peru; needs 1-3 years of data engineering experience and advanced English.
Job Title: Senior Data Engineer
Key Skills: Data Engineering, SQL, Python, ETL/ELT, Data Pipelines, Data Warehousing, Cloud, Data Modeling
Experience: +5 YOE.
Location: Costa Rica, Peru, Colombia, Bolivia
Mode: Remote
We at Coforge are hiring Senior Data Engineer with the following skill set.
Key Responsibilities
· Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
· Build and optimize data models and data warehouse solutions to support analytics and reporting.
· Integrate data from multiple sources while ensuring data quality, reliability, and consistency.
· Collaborate with engineering, analytics, and business teams to deliver scalable data solutions and continuously improve data platforms.
Required Skills & Qualifications
· 5+ years of experience in Data Engineering or a related role.
· Strong proficiency in SQL and Python.
· Hands-on experience developing and maintaining ETL/ELT pipelines.
· Experience with data warehousing and data modeling concepts.
· Experience working with large-scale datasets and distributed data processing.
· Knowledge of cloud-based data platforms and services.
· Experience with data quality, validation, and performance optimization.
· Strong problem-solving and analytical skills.
· Good communication and collaboration skills.
· Ability to work independently in a fast-paced technical environment.
Preferred Skills:
· Experience with modern cloud platforms such as AWS, Azure, or GCP.
· Experience with tools such as Databricks, Snowflake, dbt, or Apache Spark.
· Knowledge of CI/CD and Git-based development workflows.
· Experience with data governance, observability, and monitoring.
Posted On: 25-09-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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