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 ResponsibilitiesDesign and optimize ETL/ELT data pipelines on Databricks and AWSMaintain and evolve the Medallion architectureBuild reusable frameworks for data ingestion, transformation, and validationDevelop data models, schemas, and datasets for analytics and visualizationImplement data quality checks and anomaly detectionApply DevOps and CI/CD practices, strongly leveraging TerraformCollaborate with cross-functional teams and support data infrastructure needsDocument pipelines, data models, and technical processesMentor team members and support Databricks platform administration

Required qualifications

Required QualificationsBachelor's degree in Computer Science or related field (Master's preferred)3+ years of experience as a Data Engineer2+ years building Databricks pipelinesStrong SQL and Python / PySpark / SparkSQL skills2+ years of dbt experience1+ year of TerraformExperience with Git-based CI/CD workflowsStrong knowledge of big data architectures and data modelingNice to HaveExperience with Snowflake, Redshift, or BigQueryDatabricks administration experienceAPI or streaming data ingestion experienceSkillsStrong analytical and problem-solving skillsExcellent communication and stakeholder collaborationAbility to work in a fast-paced, data-driven environment

Benefits

TO BE DETERMINED