Guide and nurture the Data Software Engineering team, cultivating a culture of continual learning and growth within the unit

Collaborate with interdisciplinary teams to furnish top-notch data solutions aligning with project objectives and timelines

Forge and uphold robust Data Software Engineering processes and practices emphasizing automation, innovation, and efficiency

Ensure the realization and upkeep of streamlined and scalable data solutions utilizing AWS services

Supervise the fine-tuning of data processing and workflow management through Apache Airflow and Apache Spark

Consistently assess industry trends and best practices to enhance and implement the most potent Data Software Engineering strategies

Provide on-call assistance for data pipelines and datamarts

Direct the team in crafting and deploying REST APIs for seamless data integration and communication

Engage directly with clients to comprehend their requirements and deliver tailored, effective solutions

Steer the organization and structure of the team, guaranteeing the prompt and efficient delivery of projects

Collaborate with stakeholders, showcasing excellent communication and leadership skills

A minimum of 5 years of experience as a Data Software Engineer, engaged in substantial projects and intricate data infrastructures

At least 1 year of confirmed leadership experience, adeptly managing and motivating a team of Data Software Engineers

Proficiency in Amazon Web Services, encompassing the design and implementation of scalable and effective data solutions

Substantial expertise in Apache Airflow and Apache Spark, ensuring streamlined data processing and workflow management

Advanced familiarity with at least one CI/CD tool, preferably Jenkins, for the efficient delivery of data pipelines

Proficiency in Python and SQL, facilitating the creation and upkeep of data pipelines and ETL processes

Experience with Databricks and PySpark for data processing and analysis

Acquaintance with REST APIs for seamless data integration and communication

Robust analytical skills, empowering adept problem-solving and decision-making in intricate environments

Effective client-facing skills, facilitating clear communication and collaboration to attain project objectives

Exceptional organizational and structuring abilities, championing the efficient delivery of projects

Upper-intermediate proficiency in the English language, enabling clear collaboration, presentation, and discussion with the team and stakeholders

Background with Redshift for data warehousing and analysis