Data Engineer - Night Shifts

As a Data Engineer, you will be responsible for designing, building, and operating scalable and resilient data platforms that enable high-impact analytics, insights, and decision-making. You will work closely with product, analytics, and engineering teams to rapidly prototype, deliver, and operate reliable data pipelines and big-data services in production environments. Define, design, and develop services for large-scale data ingestion, storage, and management across relational databases, NoSQL systems, log files, and event streams. Design, build, and operate robust batch and streaming data pipelines in production environments, ensuring scalability, performance, and reliability. Develop highly concurrent, low-latency systems and work extensively with structured and unstructured datasets. Design and implement workflows and pipelines using tools such as Apache NiFi, Kafka, Spark, Flink, and Airflow, supporting both batch and real-time processing use cases. Collaborate with internal product teams and third-party service providers to enable integrations and continuously improve data platforms.

Desired Candidate Profile

Bachelor s degree in Computer Science, Software Engineering, or a related field is preferred. Minimum 3 5 years of professional experience as a Data Engineer or Big Data Engineer. Strong experience designing and operating data pipelines using Apache NiFi, Kafka, Spark, Flink, and Airflow. Solid understanding of distributed data architectures, data modeling, OLAP design, and change data capture (CDC) using tools such as Debezium. Experience working with large-scale storage and messaging platforms including MinIO/S3 and Kafka.