6 days ago
Pune, IndiaSenior

Responsibilities

  • Build and maintain scalable, production-grade data pipelines using Python-based ETL frameworks and tools.
  • Develop and optimize Python scripts for data transformation and workflow orchestration.
  • Design and implement data processing solutions across cloud platforms for analytics and machine learning initiatives.
  • Ensure data quality, consistency, and reliability through testing, validation, monitoring, and recovery planning.
  • Transform raw data into clean, structured datasets for business intelligence and AI/ML models.
  • Collaborate with data scientists, analysts, and business stakeholders to gather requirements and deliver technical solutions.
  • Support existing Python scripts and AI models that are critical to business operations.
  • Manage data acquisition, metadata management, cleansing, distribution, and backup planning.

Requirements

  • At least 2 years of work experience is required, with 3 or more years preferred; the detailed qualifications also request 6 or more years of hands-on data engineering experience.
  • Expert-level Python skills for data processing, including experience with Pandas, NumPy, and similar frameworks.
  • Proven experience building and maintaining ETL/ELT pipelines with Python-based frameworks such as Apache Airflow, AWS Glue, and Lambda.
  • Strong understanding of data modeling, data warehousing, and SQL and NoSQL database technologies.
  • Hands-on experience with AWS and cloud-native data services.
  • Familiarity with Git, CI/CD practices, and collaborative development workflows.
  • Understanding of machine learning workflows and requirements for ML-ready datasets.
  • Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
  • Knowledge of ETL tools such as Informatica and Hyperion is expected or preferred.

Benefits

  • Collaborative in-office work environment with teams working across organizational boundaries.
  • Meaningful learning experiences and development pathways for career growth.
  • Equal opportunity employer with accessibility support available for applicants who need assistance with the application process.

Tech Stack

Apache AirflowAWSGitInformaticaNumPyPandasPythonSQL

Categories

Data Engineering
Teachers Insurance and Annuity Association of America (TIAA)

About Teachers Insurance and Annuity Association of America (TIAA)

10,000+ employees
Contact me