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Mid-level Azure data engineer role in Hyderabad with broad requirements makes candidate competition high.
Core data engineering skills are transferable, though Azure and enterprise analytics focus moderately increases domain specificity.
Explicit 5–8 years plus mandatory Azure, SQL/Python, and DataOps skills create high shortlisting strictness.
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Design, build, and optimize scalable cloud-based data pipelines and platforms primarily using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and SQL/Python.
Implement data modeling (including dimensional modeling and Slowly Changing Dimensions), DataOps practices, and CI/CD pipelines to support enterprise analytics and AI.
Collaborate directly with clients, business stakeholders, and cross-functional teams to understand requirements, troubleshoot production issues, and mentor junior engineers.
5–8 years of experience as a Data Engineer with enterprise cloud data platform expertise.
Strong hands-on skills in SQL, Python, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake.
Bachelor's degree in Computer Science, Information Technology, Data Engineering or related field.
Experience working directly with clients and delivering technical solutions in cloud data engineering contexts.
Experienced implementing large-scale Azure cloud data solutions with strong data modeling and DataOps best practices.
Comfortable working client-facing with cross-functional teams to translate business needs into technical solutions.
Skilled in performance optimization, troubleshooting, and mentoring junior engineers with a focus on engineering excellence.