
Associate Software Engineer
Franklin Templeton5 days ago
Hyderābād, IndiaMid Level
Responsibilities
- Build production-grade ELT/ETL data pipelines and batch and streaming ingestion solutions.
- Implement Apache Iceberg and Delta Lake storage formats and optimize large-scale data transformations.
- Implement data quality controls and support data lineage, governance, CI/CD, and deployment processes.
- Deliver governed data products, self-service analytics capabilities, semantic models, curated data layers, and AI/ML-ready datasets.
- Promote scalable, reproducible cloud lakehouse architectures and support regulatory and compliance requirements.
- Collaborate with business stakeholders, analytics teams, data scientists, and engineers to deliver business-focused solutions.
- Use AI agents and AI tools to accelerate coding, testing, migrations, SQL optimization, prompt creation, and technical documentation.
Requirements
- At least 3 years of experience in data engineering.
- Experience building enterprise-scale data platforms and working in Amazon Web Services environments.
- Bachelor’s degree in computer science, engineering, or a related discipline.
- Advanced SQL expertise and strong Python and Apache Spark (PySpark) skills.
- Experience with Snowflake and lakehouse platforms, plus knowledge of Apache Iceberg and Delta Lake.
- Experience with CI/CD and DevOps practices, and with Git, Docker, Kubernetes, and Terraform.
- Understanding of data governance and quality frameworks.
- Strong communication, stakeholder management, collaboration, problem-solving, and analytical skills.
- Knowledge of investment management data domains is advantageous.
Benefits
- Professional development opportunities, in-house classes, and more than 150 web-based training courses.
- Educational assistance for employees pursuing continuing education.
- Medical, life, and personal accident insurance, with medical coverage also available for dependents.
- Personal loan assistance and an Employee Stock Investment Plan.
- 12 weeks of paternity leave.
- Onsite fitness, recreation, cafeteria, cricket grounds, gymnasium, library, health center, and HDFC ATM.
- Transport facility and child day care facility for women employees.
- Work shift is 2:00 PM–11:00 PM IST.
Tech Stack
Categories
Data Engineering