Senior Data Engineer: Lakehouse, SQL & Data Governance

Ciandt

Colombia

Hybrid

COP 226,552,000 - 356,010,000

Full time

8 days ago
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Benefits offered by this job

Premium Healthcare
Meal voucher
Maternity and Parental leaves
Mobile services subsidy
Sick pay-Life insurance
CI&T University
Colombian Holidays
Paid Vacations

Job summary

CI&T seeks a Senior Data Developer to own the relational and lakehouse data behind a higher-education platform, ensuring correct, fast, and well-governed data for analytics and applications.

You will build Databricks pipelines (PySpark/Spark SQL), design Kimball models, and govern data with Unity Catalog. Collaboration with North American teams and mentoring junior staff are key parts of the role.

Qualifications

  • Advanced English required (C1 or higher).
  • Strong SQL skills including window functions, stored procedures, indexing, and execution plans.
  • Experience with relational databases (SQL Server/Azure SQL preferred).
  • Hands-on Databricks experience (PySpark, Spark SQL) and dbt models.
  • Dimensional modeling (Kimball) and data warehouse design.

Responsibilities

  • Design, build, and tune schemas, stored procedures, views, and indexes.
  • Develop and maintain Databricks pipelines and dbt models.
  • Support both transactional databases and lakehouse analytics models.
  • Implement data governance, quality checks, and data lineage tracking.
  • Version control changes with Git and CI/CD deployment.
  • Document data models, runbooks, and assist incident resolution.
  • Collaborate with Data Architect and application developers; mentor mid-level developers.
  • Coordinate nearshore delivery with North American teams across regions.

Skills

Advanced English
Expert SQL
Dimensional modeling
Data governance
Mentoring

Tools

Databricks
dbt
Git
CI/CD
Jira
SQL Server / Azure SQL
PostgreSQL

Job description

CI&T seeks a Senior Data Developer to own the relational and lakehouse data behind a higher-education platform, ensuring correct, fast, and well-governed data for analytics and applications.

You will build Databricks pipelines (PySpark/Spark SQL), design Kimball models, and govern data with Unity Catalog. Collaboration with North American teams and mentoring junior staff are key parts of the role.

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