Provide leadership and mentorship to the Data Software Engineering team, cultivating an environment of growth and continuous learning

Collaborate with cross-functional teams to deliver top-tier data solutions that align with project timelines and objectives

Develop and implement effective Data Software Engineering practices, prioritizing automation, innovation, and efficiency

Design and maintain scalable data solutions using AWS infrastructure

Manage and optimize workflows and data processing using tools like Apache Airflow and Apache Spark

Stay informed on industry trends and best practices, integrating them into the Data Software Engineering processes

Offer on-call support for data pipelines and datamarts to ensure smooth operations

Guide the development and deployment of REST APIs for seamless data integration and communication

Work directly with clients to understand their needs and provide tailored, effective solutions

Oversee team organization and structure to ensure projects are delivered on time and within scope

Collaborate with stakeholders, demonstrating strong leadership and communication skills

At least 5 years of experience as a Data Software Engineer, with a focus on large-scale and complex data infrastructures

A minimum of 1 year of experience leading and managing a team of Data Software Engineers

Expertise in AWS, including designing and implementing scalable data solutions

Advanced knowledge of Apache Airflow and Apache Spark for managing workflows and data processing

Proficiency in CI/CD tools like Jenkins to streamline data pipeline delivery

Strong skills in Python and SQL for developing 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 problem-solving and analytical skills for navigating complex environments

Strong client-facing abilities to foster collaboration and achieve project goals

Exceptional organizational and leadership skills to ensure the efficient delivery of projects

Upper-intermediate English proficiency for effective communication and presentations with stakeholders

Experience with Redshift for data warehousing and analysis