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Protocol Intelligence
Data-driven signals on your job's competitivenessHigh due to Tier-1 employer, popular mid-level data role, Bangalore metro, and broad skill requirements.
Low because core data engineering skills (SQL, PySpark, AWS) are readily transferable across industries.
High due to explicit years requirement and mandatory AWS, PySpark, Python, and LLM experience.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize source-to-target data pipelines, including real-time and batch processing for Enterprise Data Platform (EDP).
Collaborate across teams to ensure data quality, integrity, and successful delivery of BI/Analytical reporting solutions on AWS platforms.
Drive evolution and roadmap activities of data platform architecture following agile and DevOps practices, including building efficient Pyspark pipelines and LLM applications to boost productivity.
Minimum Requirements
Minimum 4 years overall work experience with at least 3 years in delivering data solutions.
At least 2 years experience building Cloud BI solutions using AWS or Azure.
Proficient in SQL, Pyspark, and Python programming (4+ years).
Experience with agile development methodologies including DevOps, DataOps, and DevSecOps.
Ideal Candidate Profile
Experienced in complex data engineering projects leveraging cloud platforms (AWS/Azure) and large-scale data pipelines with enterprise impact.
Skilled in cross-functional collaboration with global teams and agile environments to deliver reliable, scalable data solutions.
Familiar with Large Language Models (LLM) and applying generative AI techniques to enhance data engineering operational efficiency.