Software Developer
Tiaa Search6+ yrsPuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Tiaa Search
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Tiaa Search you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable, production-grade Python-based data pipelines and ETL frameworks to support business intelligence and AI/ML models.
- Design, develop, optimize, and monitor robust data processing solutions across cloud platforms ensuring data quality, consistency, and reliability.
- Collaborate with data scientists, analysts, and stakeholders to translate data requirements into technical solutions and support critical AI models and existing Python scripts.
Minimum Requirements
- Minimum 2 years of work experience in data engineering; 3+ years preferred.
- Strong Python development skills with experience in data processing libraries (Pandas, NumPy) and Python-based ETL frameworks (e.g., Apache Airflow, AWS Glue).
- Hands-on experience with cloud platforms, specifically AWS and related cloud-native data services.
- Degree from a university preferred.
Ideal Candidate Profile
- 6+ years of hands-on experience in data engineering with expert-level Python skills focused on scalable, cloud-based data pipeline development.
- Familiarity with data warehousing concepts, data modeling, SQL/NoSQL databases, and machine learning workflow requirements for ML-ready datasets.
- Experience working directly with data scientists, analysts, and business teams to produce production-ready datasets and maintain critical AI models and automation standards.