Back
Tier-1 brand, Hyderabad location, generalist mid-level Python+AWS data role, and broad skillset create high competition.
Core Python and AWS data engineering skills are transferable, though financial domain exposure raises sensitivity slightly.
Explicit 2+ years plus mandatory Python, Pandas, AWS, databases, and production deployment increases screening strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and maintain scalable data pipelines and tools using Python and AWS technologies for private equity & venture capital data.
Deliver high-quality, reusable code including unit and integration testing, with ownership of end-to-end product components.
Monitor product performance and reliability, conduct code reviews, and collaborate within an Agile team to ensure smooth product delivery.
Bachelor's or master's degree in Computer Science.
2+ years overall industry experience; 1-2 years specifically in Python development.
Proficiency with Python, Pandas, NumPy, and AWS services such as Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, EMR.
Experience with relational databases (preferably Postgres, MSSQL) and GitHub-based development processes.
Experienced in building production-level services with demonstrated problem-solving and analytical skills.
Comfortable working in Agile/Scrum environments with collaborative communication and delivering within timelines.
Familiar with AWS cloud infrastructure and Python ecosystem for data processing, eager to take ownership and improve product stability.