Senior Data Engineer - Remote

Job Summary: We are looking for a Senior Data Engineer with strong Python and data engineering experience to build scalable data platforms and pipelines using Azure, Databricks, and Snowflake . Key Responsibilities: Design and develop scalable ETL/ELT data pipelines. Build data ingestion frameworks using Python, APIs, and distributed processing . Develop Databricks pipelines using PySpark and Delta Lake . Work with Snowflake, Azure Data Factory, ADLS Gen2, and Azure Synapse . Design Medallion Architecture, CDC, data models, and data quality frameworks. Develop REST/GraphQL API integrations with authentication, retry, and error handling. Optimize pipeline performance, reliability, and cloud costs. Support batch, real-time, and event-driven data processing. Collaborate with AI engineers, architects, product teams, and business stakeholders. Required Skills: 5+ years of Data Engineering experience. Strong Python and Advanced SQL skills. Hands-on experience with Databricks, PySpark, Delta Lake, and Snowflake . Strong knowledge of Azure Data Factory, ADLS Gen2, and Azure Synapse . Experience with REST/GraphQL APIs, OAuth2/JWT, and API integrations. Knowledge of data architecture, CDC, Medallion Architecture, and dimensional modeling. Experience with Git and CI/CD . Good to Have: Airflow, dbt, Kafka, Terraform, Azure OpenAI, and AI/ML data pipelines. #J-18808-Ljbffr Duobridge Talent Solution