IN_Senior Associate_ Data Engineering__ GCC _ Advisory _Mumbai
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, mid-level generalist data engineering role with common cloud skills increases applicant competition.
Core data engineering skills transfer across industries, though consulting/advisory experience is moderately preferred.
Explicit 5-8 years plus mandatory Spark/PySpark/Python and leadership requirements make shortlisting highly strict.
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 while collaborating with cross-functional teams to deliver high-quality data solutions.
Ensure data quality, integrity, and security, and manage project timelines, resources, and budgets for successful delivery.
Minimum Requirements
5-8 years of experience specializing in data services, data architecture, or data platforms with strong hands-on data engineering skills.
Mandatory expertise in Spark, PySpark, and Python for data engineering.
Bachelor's or Master's degree in Engineering (B.Tech/M.Tech), MCA, or MBA.
Experience with cloud-native data engineering platforms such as Databricks, Azure Data Engineering, or AWS is highly desirable but not mandatory.
Ideal Candidate Profile
Experienced in leading data engineering teams and projects with hands-on technical proficiency in big data technologies.
Strong understanding of data warehousing concepts, ETL processes, and cloud data services for scalable solutions.
Capable of translating complex business requirements into technical data solutions and managing stakeholder expectations effectively.