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Job Title: ETL Ingestion Engineer (Azure Data Factory) Department : Data Engineering / Analytics Employment Type : Full-time Experience Level : 2–5 years Count: ETL Ingestion Engr - 1 | Sr. ETL Ingestion Engr - 1 About the Role We are looking for a talented Data Engineer with hands-on experience in Azure Data Factory (ADF) to join our Data Engineering team. An individual will be responsible for building, orchestrating, and maintaining robust data ingestion pipelines from various source systems into our data lake or data warehouse environments. Key Responsibilities Design and implement scalable data ingestion pipelines using Azure Data Factory (ADF) . Extract data from a variety of sources such as SQL Server, flat files, APIs, and cloud storage. Develop ADF pipelines and data flows to support both batch and incremental loads. Ensure data quality, consistency, and reliability throughout the ETL process. Optimize ADF pipelines for performance, cost, and scalability. Monitor pipeline execution, troubleshoot failures, and ensure data availability meets SLAs. Document pipeline logic, source-target mappings, and operational procedures. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 2+ years of experience in ETL development and data pipeline implementation. Strong hands-on experience with Azure Data Factory (ADF) , including linked services, datasets, pipelines, and triggers. Proficiency in SQL and working with structured and semi-structured data (CSV, JSON, Parquet). Experience with Azure storage systems (ADLS Gen2, Blob Storage) and data movement. Familiarity with job monitoring and logging mechanisms in Azure. Preferred Skills Experience with Azure Data Lake, Synapse Analytics, or Databricks. Exposure to Azure DevOps for CI/CD in data pipelines. Understanding of data governance, lineage, and compliance requirements (GDPR, HIPAA, etc.). Knowledge of RESTful APIs and API-based ingestion. Show more Show less
