IN_Senior Associate_ Data Engineering __GCC_ Advisory _Bangalore

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 aligning with business requirements.

Oversee project timelines, resources, and budgets to successfully deliver data engineering engagements, ensuring data quality, integrity, and security.

5-8 years of experience in data services, data architecture, and data platforms, specifically in data engineering roles.

Strong hands-on experience with Spark, PySpark, and Python for data engineering.

Bachelor's degree in Engineering (B.Tech) or equivalent (M.Tech, MCA, MBA).

Experience with cloud-native data engineering platforms like Databricks, Azure Data Engineering, or AWS is highly desirable but not explicitly mandatory.

Experienced leader capable of managing and mentoring data engineering teams in a fast-paced consulting environment.

Technical expertise focused on scalable data pipeline design and cloud data engineering technologies.

Comfortable working with cross-functional teams translating business needs into technical solutions within advisory/project settings.