Data Engineer

What do you need for this opportunity?Must have skills required:

Nomupay is Looking for:

• Design, build, and optimize scalable ETL pipelines using Apache Airflow or similar frameworks to process and transform large datasets efficiently.
• Utilize Spark (PySpark), Kafka, Flink, or similar tools to enable distributed data processing and real-time streaming solutions.
• Deploy, manage, and optimize data infrastructure on cloud platforms such as AWS, GCP, or Azure, ensuring security, scalability, and cost-effectiveness.
• Design and implement robust data models, ensuring data consistency, integrity, and performance across warehouses and lakes.
• Enhance query performance through indexing, partitioning, and tuning techniques for large-scale datasets.
• Manage cloud-based storage solutions (Amazon S3, Google Cloud Storage, Azure Blob Storage) and ensure data governance, security, and compliance.
• Work closely with data scientists, analysts, and software engineers to support data-driven decision-making, while maintaining thorough documentation of data processes.
• Strong proficiency in Python and SQL, with additional experience in languages such as Java or Scala.
• Hands-on experience with frameworks like Spark (PySpark), Kafka, Apache Hudi, Iceberg, Apache Flink, or similar tools for distributed data processing and real-time streaming.
• Familiarity with cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure for building and managing data infrastructure.
• Strong understanding of data warehousing concepts and data modeling principles.
• Experience with ETL tools such as Apache Airflow or comparable data transformation frameworks.
• Proficiency in working with data lakes and cloud based storage solutions like Amazon S3, Google Cloud Storage, or Azure Blob Storage.
• Expertise in Git for version control and collaborative coding.
• Expertise in performance tuning for large-scale data processing, including partitioning, indexing, and query optimization.