Back
Tier-1 brand, generalist Data Engineer role in a metro with early-mid experience increases candidate competition.
Core data engineering skills (PySpark, Azure, Databricks) are highly transferable across industries.
Explicit experience band plus mandatory Azure Databricks, PySpark and data platform skills tighten shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and support enterprise-scale internal software and data engineering solutions using Microsoft Azure and related technologies.
Participate fully in Agile software development lifecycle activities including design, coding, testing, deployment, and support of software applications with global user base.
Provide technical guidance to junior engineers and contribute to research and evaluation of new tools and technologies for future initiatives.
2-4+ years of relevant experience in Data Engineering and enterprise application development.
Bachelor’s degree or equivalent combination of education, training, and experience.
Technical proficiency in T-SQL, PySpark, Python, Scala, Azure Data services (Databricks, Data Factory, Data Lake), Azure DevOps, and data storage technologies (Delta Lake, Microsoft SQL Server).
Experience with Agile software development methodologies and strong communication skills.
Experienced in delivering scalable enterprise data engineering solutions within Agile product teams.
Comfortable working with a wide range of Microsoft Azure cloud services and data analytics technologies.
Capable of operating independently on tasks while mentoring junior team members, demonstrating T-shaped skills to support sprint delivery and managing technical challenges.