Big data/Python/Databricks Engineer Engineer
Citi (company site, opens in a new tab)5–8 yrsHybridDirect career pageEst. 22–38 LPA
Posted 23d ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable data pipelines using Python and PySpark to process large volumes of structured and unstructured data across distributed platforms.
- Develop and optimize data workflows on Hadoop-based ecosystems (HDFS, Hive) ensuring reliable data availability for reporting and analytics.
- Manage full data application lifecycle including design, testing, implementation, and production support, collaborating with analytics teams for business insights.
Minimum Requirements
- 5 to 8 years of experience in data engineering or big data development with large-scale data platforms.
- Proficient in Python, PySpark, ETL, Oracle DB, SQL, and Databricks.
- Practical knowledge of Hadoop ecosystem including HDFS, Hive, Hadoop cluster operations, and Linux environments.
- Bachelor's degree or equivalent in a relevant technical discipline.
Ideal Candidate Profile
- Experienced in handling enterprise-scale big data tools and modern data platforms with ability to work autonomously and make technical decisions.
- Familiar with managing data engineering projects including risk assessment, security, and compliance alignment.
- Skilled in supporting Tableau dashboards and leveraging statistical/data exploration tools like RStudio and Large Language Models (LLMs).