Big Data Lead

1. Deep expertise in data integration / ETL / ELT and pipeline orchestration • ADF’s core role is to ingest, transform, and move data across disparate sources. A consultant must know how to design robust, efficient, and maintainable pipelines (copy activities, mapping data flows, data transformations) Microsoft Learn+2Interview Questions+2 • You should understand incremental vs full load patterns, schema drift, partitioning, change data capture, and performance tuning of data flows • You should also be comfortable orchestrating dependencies, scheduling, error handling, retries, monitoring, and alerting across activities 2. Solid proficiency in SQL, scripting, and data transformation logic • Most transformations, aggregations, joins, filters, deduplication, and data cleansing will rely on SQL skills • In many cases, you’ll also need scripting (e.g. Python, PowerShell, or other language) to handle data preparations, custom logic, or pre/post-processing steps • Familiarity with handling structured, semi-structured (JSON, XML), and unstructured data is also valuable 3. Familiarity with the broader Azure data ecosystem & architectural thinking