Job Overview

We are looking for an experienced Lead Data Software Engineer for a remote position to support our team’s success and advance our Data Science initiatives.

Role Responsibilities

• Lead and mentor the Data Software Engineering team, fostering a culture of continuous improvement and professional growth.
• Collaborate across disciplines to deliver high-quality data solutions aligned with project goals and deadlines.
• Establish and maintain effective Data Software Engineering processes, emphasizing automation, efficiency, and innovation.
• Implement and sustain scalable data solutions using AWS services.
• Oversee optimization of workflows and data processing through Apache Airflow and Apache Spark.
• Continuously evaluate industry trends and best practices to refine and adopt advanced Data Software Engineering methodologies.
• Provide on-call support for data pipelines and datamarts to ensure operational efficiency.
• Direct the creation and deployment of REST APIs to enable seamless data integration and communication.
• Engage with clients to understand their needs and deliver tailored solutions that meet their requirements.
• Manage team structure and organization to ensure timely and efficient delivery of projects.
• Work with stakeholders, demonstrating strong communication and leadership capabilities.

Requirements

• At least 5 years of experience as a Data Software Engineer, working on complex projects and large-scale data infrastructures.
• Minimum of 1 year of leadership experience, successfully managing and motivating a team of Data Software Engineers.
• Expertise in Amazon Web Services (AWS), including designing and implementing scalable data solutions.
• Extensive knowledge of Apache Airflow and Apache Spark for optimizing workflows and data processing.
• Advanced proficiency with one or more CI/CD tools, such as Jenkins, to streamline data pipeline delivery.
• Strong skills in Python and SQL for building and maintaining data pipelines and ETL processes.
• Experience with Databricks and PySpark for data analysis and processing.
• Familiarity with REST APIs for efficient data integration and communication.
• Excellent analytical skills for problem-solving and decision-making in complex environments.
• Strong client-facing abilities, ensuring effective collaboration and clear communication to achieve project objectives.
• Exceptional organizational and team management skills for delivering projects efficiently.
• Upper-intermediate English proficiency for effective communication, presentations, and discussions with stakeholders.

Nice to Have

• Experience with Redshift for data warehousing and analysis.

What We Offer

• International projects with top brands.
• Work with global teams of highly skilled, diverse peers.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling and certification courses.
• Unlimited access to the LinkedIn Learning library and 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement opportunities.
• EPAM Employee Groups.
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn.