Data Engineer

As an experienced data engineer, you need to have an advanced understanding of building and deploying production-grade solutions in complex projects. Your role will involve the following key responsibilities: - 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, 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. Additionally, it is important to note that the company prefers candidates who are proficient in Azure and have experience working with advanced tools and techniques to ensure data quality. As an experienced data engineer, you need to have an advanced understanding of building and deploying production-grade solutions in complex projects. Your role will involve the following key responsibilities: - 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, 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. Additionally, it is important to note that the company prefers candidates who are proficient in Azure and have experience working with advanced tools and techniques to ensure data quality.