Data Engineer
Apptad
Design, develop, and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory (ADF), and Databricks . Build and optimize enterprise data models for reporting, analytics, and business intelligence. Develop ETL/ELT solutions to ingest, transform, and load data from multiple sources. Work with structured and unstructured data stored in ADLS, Oracle, and Snowflake . Develop data transformation and automation solutions using Python . Optimize data processing performance and ensure data quality, reliability, and governance. Collaborate with business stakeholders, architects, and analytics teams to deliver data-driven solutions. Troubleshoot production issues and provide ongoing support for data platforms. Required Skills 7+ years of experience as a Data Engineer. Strong hands‑on experience with: Microsoft Fabric, Azure Data Factory (ADF), Databricks & Data Modeling. Experience with: Azure Data Lake Storage (ADLS), Snowflake, Oracle Database & Python. Strong SQL and data warehousing concepts. Experience building scalable ETL/ELT pipelines. Excellent analytical, problem‑solving, and communication skills. Preferred Qualifications Experience working in large enterprise or cloud‑native environments. Microsoft Azure certifications are a plus. Experience with CI/CD and DevOps practices is preferred. #J-18808-Ljbffr Apptad
Vacancy posted 2 days ago
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