Back
Tier-1 brand, metro location, mid-level generalist data role with broad Azure/Databricks skill requirements.
Specialized Azure Databricks and cloud data engineering skills moderately limit cross-industry transferability.
Explicit 5+ years plus extensive mandatory Azure, Databricks and ADF technical requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize scalable data solutions and ETL/ELT pipelines on Azure using Databricks, Azure Data Factory, and related technologies.
Implement batch and real-time data processing and data ingestion/transformation solutions ensuring data quality, governance, security and cost-efficiency.
Collaborate with data scientists, analysts, and business users while leading or mentoring teams and managing project delivery with Agile methods.
Minimum 5+ years of relevant experience in data engineering including Azure Databricks and Azure Data Factory.
Strong skills in Databricks, PySpark, SQL, Azure Functions, live/streaming/batch data processing, Azure DevOps, GITHUB, ELT/ETL, and data integration.
Bachelor’s degree or higher (BTech, BE, MBA, BSc, MSc) in any discipline.
Preferred Azure Certifications (Azure Data Engineer Associate, Azure Solutions Architect) and Databricks Certification; experience in regulated environments and cloud deployments.
Experienced in designing and delivering complex data architectures on Azure with strong operational ownership of data pipelines and solutions.
Proficient in managing Agile scrum teams and stakeholder communication in a multicultural, technical environment.
Technical leader able to mentor engineers, drive solution design and optimize for performance, cost, and security on Azure platform.