Back
Tier-1 brand plus broad data engineering skillset creates medium competition.
Core data engineering skills are highly transferable across industries despite healthcare preference.
Explicit 7+ years requirement and mandatory Python/PySpark/AWS skills make shortlisting strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, deploy, monitor, and support analytics platform and rebuild legacy reports in data mart.
Implement CI/CD pipelines for data platform deployment and administration, with proactive monitoring and automation for self-service developer models.
Participate in production support rotation ensuring platform uptime and mentor junior engineers.
7-12 years IT experience with Bachelor’s in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or related field.
Minimum 6 years data engineering experience (or 4 years with advanced degree).
Strong skills: SQL queries, Python, PySpark, AWS native tools (S3, Glue, Lambda, EMR, Athena, Step Functions).
Experience with job orchestration tools (preferably AWS Step Functions, Airflow/Oozie) and source control (Git/GitHub).
Experienced in independently delivering data engineering solutions using best practices, modernizing legacy reporting systems to cloud-native stacks.
Capable of working with cross-functional teams (IT, business) to improve processes and right-size infrastructure based on platform metrics.
Comfortable leading and mentoring junior engineers and handling production-level support issues with a security and data privacy mindset.