Job Description
We are looking for a Data Engineer to design, build, and maintain a scalable and reliable data platform supporting analytics and data science use cases. The role focuses on Databricks-based pipelines, data quality, and modern DevOps practices, working closely with BI, Analytics, and business stakeholders. Key Responsibilities Design and optimize ETL/ELT data pipelines on Databricks and AWS Maintain and evolve the Medallion architecture Build reusable frameworks for data ingestion, transformation, and validation Develop data models, schemas, and datasets for analytics and visualization Implement data quality checks and anomaly detection Apply DevOps and CI/CD practices, strongly leveraging Terraform Collaborate with cross-functional teams and support data infrastructure needs Document pipelines, data models, and technical processes Mentor team members and support Databricks platform administration

Required qualifications
Required Qualifications Bachelor's degree in Computer Science or related field (Master's preferred) 3+ years of experience as a Data Engineer 2+ years building Databricks pipelines Strong SQL and Python / PySpark / SparkSQL skills 2+ years of dbt experience 1+ year of Terraform Experience with Git-based CI/CD workflows Strong knowledge of big data architectures and data modeling Nice to Have Experience with Snowflake, Redshift, or BigQuery Databricks administration experience API or streaming data ingestion experience Skills Strong analytical and problem-solving skills Excellent communication and stakeholder collaboration Ability to work in a fast-paced, data-driven environment

Benefits
TO BE DETERMINED

Job details

Company

KLANIK

Contract

Full time • Full-time

Experience

3 years minimum

Degree

No degree

Job location

Fort Lauderdale (United States)

Reference

2623680

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