Jobs → Data & Analytics → Data Engineer

About the Role We are looking for an experienced Data Engineer to design, develop, optimize, and maintain scalable cloud-based data pipelines, data platforms, and storage solutions. The ideal candidate will have strong SQL and Python skills, hands-on experience with ETL/ELT workflows, and knowledge of big data technologies. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines. • Ingest, transform, and process structured and unstructured data from multiple sources. • Build and optimize data warehouses, data lakes, and lakehouse architectures. • Perform SQL and NoSQL testing, data validation, and post-deployment checks. • Develop Python scripts and automation for data processing and transformation. • Troubleshoot data ingestion, schema, and data quality issues. • Collaborate with cross-functional teams to translate business requirements into technical solutions. • Monitor and optimize cloud-based data platforms for scalability, reliability, and performance. Requirements • 3+ years of experience in Data Warehouse development. • 3+ years of experience analyzing aggregated data from multiple sources in cloud-based environments. • 2+ years of experience developing and maintaining scalable data stores for business analytics. • Strong proficiency in SQL and Python for data retrieval, parsing, and processing. • Hands-on experience developing scalable ETL/ELT workflows for reporting and analytics. • Experience with Cloudera or Hadoop technologies for data ingestion, transformation, and processing. • Experience leveraging Generative AI coding tools to assist with development. Preferred Qualifications • Public Health domain experience.