Senior Data Engineer - Assistant Vice President
Citi (company site, opens in a new tab)8–10 yrsChennai, PuneHybridDirect career pageEst. 30–45 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and delivery from diverse sources.
- Contribute to building scalable data architectures including data lakes, warehouses, and lakehouse patterns.
- Ensure data quality through implementation of validation frameworks, monitoring solutions, and optimize data solutions using cloud platforms like Spark, Kafka, Databricks.
Minimum 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.
- Bachelor’s degree or equivalent experience.
Ideal Candidate Profile
- Experienced in building and optimizing large-scale, cloud-based data pipelines and architectures.
- Technical hands-on expertise with distributed computing frameworks and cloud services for data processing.
- Able to handle complex data quality and performance optimization challenges in data engineering environments.