Data Platform Engineer

Quick Facts

• Role: Data Platform Engineer

Description

Build and operationalize scalable ETL/ELT data pipelines using Databricks with strong integration into GCP, including BigQuery. Productionize agentic workflows to automate data engineering operations such as data validation, issue identification, troubleshooting, and workflow execution. The role focuses on performance optimization, data quality controls, and production support for reliable data solutions.

Responsibilities

• Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.

• Build and operationalize agentic workflows to automate data engineering and operational processes (validation, troubleshooting, workflow execution).

• Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.

• Develop data pipelines and processing solutions for new business requirements and datasets.

• Create reusable frameworks and components for multiple data engineering and business use cases.

• Implement data quality checks, monitoring, validation, exception handling, and production controls.

• Optimize PySpark and SQL workloads for performance, reliability, and scalability.

• Support testing, deployment, productionization, and ongoing enhancements of data and agentic solutions.

• Troubleshoot complex data and production issues and implement sustainable solutions.

• Collaborate with business, data engineering, and platform teams to identify further automation opportunities.

Requirements

• 2+ years of hands-on experience with Databricks and PySpark.

• Advanced SQL and data-processing skills.

• Hands-on experience with GCP, particularly BigQuery.

• Experience with Delta Lake and modern data lake/lakehouse architectures.

• Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.

• Experience building reliable, scalable, production-grade data solutions.

• Strong analytical and troubleshooting skills.

• Understanding of software engineering practices including testing, version control, deployment, monitoring, and production support.

• Upper-intermediate English level.

Benefits

• Growth via mentorship, internal TechTalks, challenging projects, and an annual learning budget.

• Competitive compensation with regular performance and compensation reviews.

• 100% remote work with flexible hours.

• Meaningful, modern projects with modern technologies and global teams.

• Supportive culture with zero micromanagement.

• Well-being support programs tailored to your location.