Azure Data Engineer

Data Engineer

We're looking for a highly skilled Data Engineer to design, build, and run robust data pipelines that power enterprise-wide analytics and reporting. You'll own ETL development and operational excellence across SQL Server, SSIS, Azure Data Factory (ADF), and Databricks, ensuring data reliability, scalability, and performance in a fast-paced environment.

Responsibilities

• Analyze, troubleshoot, and resolve operational support tickets across BI, ETL processes, and data pipelines.
• Maintain, enhance, and deploy SSIS packages with strong logging, error handling, and recoverability.
• Develop, optimize, and troubleshoot complex T-SQL (queries, stored procedures, views, functions).
• Build and orchestrate ADF pipelines (triggers, activities, linked services, IRs) with parameterization and environment promotion.
• Ensure data accuracy and integrity in production; define validation checks and monitoring.
• Perform root-cause analysis of failures and implement permanent fixes to prevent recurrences.
• Document runbooks, operational processes, and known fixes for knowledge transfer.
• Collaborate with BI developers, data engineers, and business analysts to translate user requests into durable solutions.
• Proactively identify and deliver performance improvements (partitioning, indexing, parallelization, caching).
• Contribute to reliability practices (alerting, retries, idempotent reruns, SLAs) and on-call readiness.

Required Qualifications :

Preferred Qualifications :