Senior Data Engineer
CI&T
full-time
Posted on:
Location Type: Remote
Location: Colombia
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Job Level
About the role
- Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
- Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
- Implement and maintain data quality measures throughout the data lifecycle
- Create and optimize dimensional data models to support analytical needs
- Develop and maintain Data Lake/Data Warehouse solutions for our clients
- Implement data governance practices including cataloging and lineage tracking
- Configure and manage CI/CD pipelines for ETL processes
Requirements
- Advanced English communication skills (reading, writing, and speaking)
- Experience working with international clients
- Strong coding experience with Python
- Hands-on experience with Snowflake and DBT
- Proven background in data engineering with modern data stacks
- Experience in Azure cloud environments using SQL and/or Spark (with Apache Airflow and Dataforms)
- Knowledge of data quality practices and implementation methods
- Familiarity with CI/CD pipelines for ETL processes
- Expertise in dimensional data modeling
- Experience implementing and working with Data Lake/Data Warehouse solutions
- Understanding of Data Governance principles
- Must: Azure Data Factory, Azure DevOps, SQL, Experience with data cleansing, transformation, and integration.
- Nice: Snowflake, Python
Benefits
- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations
- And many others.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLSparkDBTSnowflakeData LakeData WarehouseETLdimensional data modelingdata cleansing
Soft skills
advanced English communicationcollaborationdata integrityaccessibilityusability