2 months ago
Chennai, IndiaStaff+
Responsibilities
- Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and delivery.
- Contribute to scalable data architecture across data lakes, data warehouses, and lakehouse patterns.
- Implement data quality checks, validation frameworks, monitoring solutions, and data lineage compliance.
- Build and optimize data solutions using Spark, Kafka, and Databricks.
- Profile and tune SQL queries, Spark jobs, and pipeline workflows for efficiency and cost effectiveness.
Requirements
- 8–10 years of experience in data engineering.
- Proficiency in Python and strong SQL skills.
- Hands-on experience with Apache Spark, Hadoop, or equivalent distributed computing frameworks.
- Experience with relational databases and NoSQL systems.
- Bachelor’s degree or university degree, or equivalent experience.
- Knowledge of machine learning and AI is an added advantage.
Benefits
- Full-time position.
- Citi is an equal opportunity employer and provides consideration without regard to legally protected characteristics.
Tech Stack
Categories
Data Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.