AWS Data Engineer with ADF (mandatory)

Role Descriptions: ADF Developer Key Responsibilities
1. Data Pipeline Development Design and develop ETLELT pipelines using Azure Data Factory (ADF). Build data ingestion workflows from multiple sources (onprem| cloud| APIs| databases). Implement data transformations using ADF Data Flows Databricks PySpark (if applicable)Stored procedures
2. Azure Data Engineering Work with Azure services such as Azure Data Lake Storage (ADLS)Azure Synapse Analytics Azure SQL Database SQL MI Azure Functions Key Vault Manage data movement using integration runtimes.
3. Performance Optimization Troubleshoot pipeline failures| performance bottlenecks| and data quality issues. Optimize data flows| SQL queries| and scheduling logic. Ensure scalable and high-performance data solutions.
4. CICD Automation Build CICD pipelines for ADF using Azure DevOps GitHub. Implement code versioning| deployments| and automated testing. Use ARM Bicep Terraform for infrastructure deployments (nice-to-have).
5.



Data Quality| Security Governance Implement data validation rules| error handling| and monitoring. Apply security best practicesManaged identities RBAC Secure credentials with Key Vault Ensure compliance with enterprise data governance frameworks. Technical Skills Strong experience with Azure Data Factory (mandatory).Expertise in SQL (T-SQL preferred)Data warehousing concepts ETLELT methodologies Handson experience with Azure Data Lake Azure SQL Synapse Data Flows Mapping Data Flows JSON| REST Apis no Knowledge of Python| PySpark| or Databricks is a strong advantage. Familiarity with Azure networking| triggers| monitoring| and integration runtime setups. Professional Skills Strong analytical and debugging skills. Good communication and stakeholder collaboration. Ability to work in Agile Scrum teams.
Attention to detail and a solid ownership mindset.

📌 Aws Data Engineer (New Delhi)
🏢 Tekskills
📍 New Delhi