Senior Data Engineer

+5 years of experience building complex data pipelines Extracting and processing data from external sources via API or real-time streaming tools Master of SQL language Knowledge of real-time data processing frameworks (Apache Kafka, AWS Kinesis, Apache Flink) Experience with Medallion architecture Knowledge of Lakehouse architectures and Apache Iceberg format Experience with designing for scale and data growth Business and product understanding Consistent track record of successful data projects delivered Potential to build rock-solid Python applications Experience with cloud data technologies (AWS, GCP, or Azure Cloud) Experience with analytics and defining metrics Experience with measuring data quality

Enable efficient consumption of domain data as a product Build, maintain, and improve data pipelines using AWS Redshift, Trino, Spark, Airflow, and Kafka Build data pipelines in Lakehouse using Medallion architecture Support teams in building decentralized data solutions Act as a data ambassador, promoting data platform value Cooperate with product teams to streamline source data Follow and promote data mesh principles Enforce privacy and security standards Increase data literacy by hosting training and mentoring