Summary: Seeking an experienced professional in end-to-end data architecture and design, proficient in cloud-native engineering and various data solutions. Highlights: 1. End-to-end data architecture and design expertise 2. Proficiency in cloud-native engineering (Microsoft, AWS, Google Cloud) 3. Experience with DevOps/DataOps practices and pipeline optimization **Technical Skills:** Strong experience in end\-to\-end data architecture and design, including ingestion, modeling, storage, and orchestration (ex. Medallion). Proficiency in cloud\-native engineering, with a focus on Microsoft technologies (Fabric, Azure Data Factory, Synapse) but open to other cloud platforms (AWS, Google Cloud) with comparable tools. Hands\-on experience with data warehousing and data lake solutions (e.g., BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift). Proficiency in programming languages such as Python (with data\-related libraries: e.g. Pandas, Boto3\), SQL, or Spark. Strong knowledge of RDBMS (e.g., Oracle, MS SQL Server) or NoSQL databases (e.g., MongoDB, ElasticSearch, GBQ). **Requisitos:** Experience with DevOps/DataOps practices, including CI/CD pipelines. Ability to implement data validation, lineage, documentation, and monitoring at scale. Proven ability to optimize pipelines and storage solutions for performance, cost, and reliability.
João Silva
Indeed · HR
João Silva
Indeed · HR
