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Tier-1 brand, mid-level generalist backend role in Hyderabad with common Python/AWS stack increases applicant competition.
Backend Python and data-processing skills are highly transferable across industries.
Explicit 3+ years and required Python, AWS, Pandas/Parquet tech stack make filters relatively strict.
Build and evolve data-intensive backend systems focused on data processing, system design, and performance using Python and AWS.
Improve scalability, reliability, and throughput of data storage and access products supporting data collection and publishing at FactSet.
Contribute individual code, perform unit/integration testing, code reviews, and collaborate within an agile team to ensure high product stability and modernization.
Bachelor’s or master’s degree in computer science.
3+ years of relevant software development experience.
Strong proficiency in Python and experience with AWS components (e.g., ECS, DynamoDB, S3, Batch, SQS).
Experience with data processing tools like Pandas, handling Parquet files, and GitHub-based development workflows.
Experienced in backend development for data-intensive systems with a focus on performance and reliability.
Familiar with AWS ecosystem and modern data formats such as Iceberg and Delta Lake, preferably with Databricks exposure.
Capable of individual contribution in agile environments, proactive in technical problem solving and code quality improvement.