Creditas is seeking a Senior Data Engineer to join their Product Technology team. The ideal candidate will be responsible for designing, building, and maintaining scalable and reliable data pipelines and database systems, managing solutions and automating processes using tools such as Spark, AirFlow, Redash, EMR, and Redshift. The role involves working with AWS services, implementing CI/CD processes, and leveraging Infrastructure as Code (IaC) tools to streamline data operations. The candidate will be expected to implement data solutions using cutting-edge technologies like Spark, Python, and various AWS services, as well as design and develop a data architecture focused on decentralization and Data Mesh culture. Additionally, the role includes mentoring and training fellow engineers, promoting a culture of continuous growth and improvement, and identifying and addressing team capability gaps to increase efficiency and success.
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Creditas offers a comprehensive benefits package, including health and dental insurance, life insurance, corporate university, psychology sessions, gym access, birthday day off, parental leave, and more. The company values diversity and inclusion, promoting an environment that respects all differences and provides equal opportunities for growth and development.