Data Engineer

As an experienced data engineer, you will be responsible for the following key responsibilities: - Building and deploying production-grade solutions in complex projects. - Data engineering, data modeling, and pipeline development. - Utilizing SQL, Python, Spark, Databricks, and cloud-based data engineering tools (Azure preferred, AWS, GCP). - Implementing software engineering practices effectively. - Working with big data processing, streaming architectures (Kafka, Event Hub), and real-time data solutions. - Ensuring data governance, metadata management, and data lineage frameworks are in place. - Implementing CI/CD practices, DevOps, and Infrastructure as Code (IaC) for data solutions. - Utilizing advanced tools and techniques to identify and address data quality issues. - Managing stakeholders effectively and driving alignment across cross-functional teams. - Applying problem-solving and analytical skills with a product mindset. - Contributing to product roadmaps and iterative development cycles in agile environments. Qualifications required for this role include: - Advanced understanding of building and deploying production-grade solutions in complex projects. - Strong experience in data engineering, data modeling, and pipeline development. - Proficiency in SQL, Python, Spark, Databricks, and cloud-based data engineering tools (Azure preferred, AWS, GCP). - Strong experience in software engineering practices and implementation. - Experience with big data processing, streaming architectures (Kafka, Event Hub), and real-time data solutions. - Understanding of data governance, metadata management, and data lineage frameworks. - Knowledge of CI/CD practices, DevOps, and Infrastructure as Code (IaC) for data solutions. - Knowledge of using advanced tools and techniques to identify and address data quality issues. - Strong stakeholder management skills, able to influence and drive alignment across cross-functional teams. - Excellent problem-solving and analytical skills with a product mindset. - Ability to work in agile environments, contributing to product roadmaps and iterative development cycles.,