Data Engineer

Quick Facts

• Role: Data Engineer

Description

Design, develop, and optimize scalable ETL/ELT pipelines using Databricks, PySpark, and SQL. Build and operationalize agentic workflows to automate data engineering operations—data validation, issue identification, troubleshooting, and workflow execution—while integrating with Databricks, GCP, BigQuery, and Delta Lake. Deliver production-grade, reusable data engineering frameworks with strong data quality, monitoring, and exception handling.

Responsibilities

• Design, develop, and optimize scalable ETL/ELT data pipelines

• Build and operationalize agentic workflows for automation of data engineering tasks

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

• Develop 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 enhancement 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 automation opportunities

Requirements

• 2+ years 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: testing, version control, deployment, monitoring, and production support

• Upper-intermediate English level

Benefits

• Growth: mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget

• Competitive compensation with regular performance and compensation reviews

• Flexibility: 100% remote work with flexible hours

• Meaningful, modern projects using modern technologies with global teams and leading brands

• Supportive collaborative culture with zero micromanagement

• Well-being & support programs tailored to your location