Data Engineer – Spark, Scala/JavaKey Responsibilities: Developing, managing, and optimizing data pipelines. Engaging with team developers and architects to shape the process implementation framework. Estimating workload and regularly updating progress on solution development. Cooperating closely with stakeholders to refine solution details and validate requirements. Supporting business teams in understanding technical possibilities, offering optimal solutions, and clarifying constraints. Establishing efficient workflows, proposing, and executing process enhancements. Desired Qualifications: Proficiency in Scala or Java with substantial experience. Minimum 4–5 years of relevant experience Hands-on expertise in working with Spark. Familiarity with CI/CD methodologies and tools such as GitHub Actions. Knowledge of cloud platforms (GCP) and infrastructure as code (Terraform) is a plus. Experience with Airflow is an added advantage. Background in data pipeline testing is beneficial. A business- and product-centric approach with direct experience in stakeholder collaboration. Banking sector experience is a plus. Prior work experience in Scrum and agile methodologies. Strong analytical skills with the ability to address intricate technical challenges. Passion for tackling challenges that foster both personal and professional development. A collaborative mindset with a willingness to learn and grow. Proficiency in English is essential.