Data Engineer - Remote

Overview

We are looking for a talented and motivated Data Engineer with strong experience in PySpark and Python to design, build, and maintain scalable data pipelines and infrastructure.

In Short

• Develop and optimize robust, scalable data pipelines using PySpark and Python
• Clean, transform, and enrich large-scale datasets from structured and unstructured sources
• Implement data ingestion, ETL/ELT workflows, and integration strategies across cloud and on-prem platforms
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
• Ensure data quality, integrity, and lineage throughout the data lifecycle
• Participate in performance tuning, troubleshooting, and production support
• Contribute to best practices in data engineering, including code versioning, testing, and CI/CD

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, or related field
• 3+ years of experience in data engineering with a focus on PySpark and Python
• Strong hands-on experience with distributed data processing frameworks (e.g., Apache Spark)
• Solid understanding of SQL, data modeling, and relational databases
• Experience working with cloud platforms (e.g., AWS, Azure, GCP)
• Familiarity with workflow orchestration tools (e.g., Airflow, Azure Data Factory)

Benefits

• Support for professional and personal development
• Commitment to diversity and inclusion
• Unique opportunities for professional and cultural immersion
• Dynamic collaboration with clients
• Inclusive environment fostering curiosity and learning