Senior Data Engineer

Responsibilities

• Design, develop, and maintain scalable, secure, and high-performance data pipelines
• Acquire, ingest, and transform large-scale structured and unstructured datasets
• Collaborate with Data Scientists and Analytics Delivery Leads to solve complex business problems
• Perform data wrangling, cleansing, and feature engineering for machine learning use cases
• Build and optimize data architectures supporting advanced analytics and machine learning workloads
• Ensure data quality, integrity, governance, and security across the entire data lifecycle
• Participate in Agile squads and contribute to enterprise data architecture strategy

Requirements

• Expert-level proficiency in PySpark
• Strong programming experience in Python
• Experience with distributed data processing and large-scale pipelines
• Strong SQL expertise and experience with Relational and NoSQL databases
• Proven knowledge of ETL/ELT development and data modeling
• Experience working in Agile/Scrum environments
• Strong analytical, problem-solving, and stakeholder management skills

Preferred Qualifications

• Experience working with enterprise-scale data platforms
• Exposure to cloud-native data engineering (Azure, AWS, or GCP)
• Experience with Databricks or the Hadoop ecosystem
• Experience designing modern data architectures and data lake environments
• Experience supporting machine learning and advanced analytics initiatives

About the Company

GSSTech Group is a technology leader focused on delivering high-performance data and analytics solutions. We empower businesses through advanced data engineering, machine learning support, and scalable data architectures.