A company is looking for a Data Integration Lead to support data management initiatives. Key Responsibilities Design and implement scalable data pipelines for market, reference, and transactional data Develop ETL processes to ingest data from trading platforms, market data providers, and internal systems Ensure data integrity, lineage, and governance across systems Required Qualifications Bachelor's or Master's degree in Computer Science, Finance, or related field 5-7 years of experience in data engineering, preferably in financial services Strong proficiency in Python, SQL, and data modeling Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with Kafka, Spark, Airflow, or similar tools for data orchestration
Data Engineer • Livonia, Michigan, United States