IN_Senior Associate_ Data Engineering_GCC_Advisory _Mumbai
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and maintenance of scalable data pipelines and architectures using Spark, PySpark, and Python.
Manage and mentor a team of data engineers, ensuring delivery of high-quality data solutions aligned with business needs.
Oversee project timelines, resources, budgets, and enforce best practices in code review, testing, and documentation.
Minimum Requirements
5-8 years of experience specializing in data services, data architecture, and data platforms.
Mandatory certification: Spark 3.0 and/or Databricks Advanced/Professional Architect.
Strong hands-on skills with Spark, PySpark, Python; experience with cloud-native data engineering platforms like Databricks, Azure, AWS is highly desirable.
Bachelor's degree in Engineering (B.Tech) required; Master's (M.Tech/MCA/MBA) preferred.
Ideal Candidate Profile
Experienced senior data engineer comfortable leading teams and managing end-to-end data engineering projects.
Proficient in cloud data platforms (Databricks, Azure, AWS) and modern data engineering best practices.
Capable of interfacing with cross-functional stakeholders to translate business needs into technical solutions and manage project delivery.