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Tier-1 consulting, popular mid-level Azure data engineer role in metro location increases candidate competition.
Core data engineering skills are transferable, but Azure/Databricks specialization increases domain specificity.
Mandatory 6+ years plus specific Azure, Databricks, Python, and SQL requirements make filtering strict.
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Design, develop, and manage scalable and secure data pipelines on Azure using Databricks and Data Factory.
Write advanced Python scripts for cloud automation, data processing, orchestration, and optimize ETL workflows.
Architect and implement cloud data solutions integrating structured and unstructured data sources; support enterprise data warehousing.
6+ years overall experience in cloud or data engineering, with 2-3 years hands-on Azure cloud services and Python development.
Strong expertise in Python programming, SQL, Azure Databricks, Azure Data Factory, Azure Blob Storage/Data Lake, and Apache Spark.
Educational qualification: BE/B.Tech/MBA/MCA; Master of Business Administration degree required.
Proven experience in designing and optimizing scalable ETL pipelines and data models using normalization and denormalization techniques.
Experienced in end-to-end Azure cloud data solutions, integrating multiple data sources and BI tools.
Capable of leading code reviews and maintaining version control with Git in an Agile delivery environment.
Skilled in advanced data engineering practices including data modeling, performance troubleshooting, and automation using cloud native tools.