EPAM Systems is seeking a seasoned Lead Data Engineer proficient in Python, Databricks, and AWS to spearhead data pipeline development and optimization for high-impact projects. Join our innovative team to drive data strategies that empower business transformation in a fully remote capacity.

As a Lead Data Engineer at EPAM Systems, you will play a pivotal role in designing, building, and maintaining scalable data pipelines that leverage Python, Databricks, and AWS ecosystems. Our projects focus on enabling data-driven decision-making for clients across various industries, handling large-scale data ingestion, transformation, and analytics.

In this position, you will lead a team of engineers in developing robust data architectures, optimizing performance on cloud platforms, and ensuring data quality and security compliance. You will collaborate closely with data scientists, analysts, and stakeholders to translate business requirements into technical solutions, while staying ahead of emerging trends in big data technologies.

EPAM values innovation and excellence, providing you with the autonomy to experiment with advanced tools and methodologies. This remote contract role offers the chance to contribute to transformative projects that make a real-world impact, all while advancing your expertise in one of the fastest-growing fields in technology.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering, with at least 2 years in a lead or senior role
• Expertise in Python for data processing, ETL pipelines, and scripting
• Strong proficiency in Databricks for big data processing, including Delta Lake and Spark
• Hands-on experience with AWS services such as S3, EMR, Glue, and Lambda
• Knowledge of data modeling, warehousing, and orchestration tools like Airflow
• Familiarity with SQL, NoSQL databases, and cloud architecture best practices
• Excellent problem-solving skills and ability to mentor junior engineers
• Strong communication skills for collaborating with cross-functional teams

• Competitive monthly salary with performance-based incentives
• Fully remote work setup with flexible hours to support work-life balance
• Comprehensive health insurance coverage including medical, dental, and vision
• Professional development opportunities, including certifications in AWS and Databricks
• Generous paid time off and parental leave policies
• Access to cutting-edge tools and technologies in a collaborative environment
• Employee assistance programs for mental health and wellness support
• Opportunities for career growth within a global IT consulting leader