Back
Tier-1 brand, metro location, mid-level generalist data role increases applicant competition.
Data engineering skills (PySpark, SQL, AWS) are broadly transferable across industries.
Explicit 6+ years and mandatory AWS, PySpark, Python, SQL skills make shortlist filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and optimize data engineering pipelines for real-time and batch processing using Enterprise Data Platform (EDP) across various company divisions.
Collaborate with cross-functional teams including admins, developers, analysts, scrum masters, and leadership to deliver BI and analytical reporting solutions on DWH and AWS platforms.
Contribute to the evolution of EDP architecture, participate in roadmap activities, and apply Agile and DevOps/DevSecOps/DataOps methodologies for solution delivery.
6+ years total work experience, with 4+ years specifically in delivering data solutions.
3+ years of experience building cloud BI solutions using AWS or Azure.
Proficient in SQL, PySpark, and Python programming with 4+ years of experience.
Experience working in Agile development environments following DevOps, DataOps, and DevSecOps practices.
Experienced in enterprise-scale data engineering projects involving cloud-based BI platforms (AWS/Azure) and large data warehouses.
Skilled in multi-regional/team collaboration and communication across multiple platforms and time zones.
Familiarity or experience with Large Language Models (LLMs) and applying generative AI to improve data engineering productivity.