AI Data Engineer II
UKG (company site, opens in a new tab)2–5 yrsBengaluruHybridDirect career pageEst. 12–22 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable ETL/ELT data pipelines using Python, PySpark, SQL, and Databricks focused on cloud platforms like Azure and GCP.
- Support migration of datasets and pipelines from legacy systems to modern cloud-based data platforms ensuring data quality and validation.
- Collaborate with cross-functional teams to prepare and process data for AI-enabled solutions including exposure to Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).
Minimum Requirements
- 2–5 years of experience in Data Engineering or related roles.
- Proficient in Python, SQL, Spark/PySpark, and Databricks or similar cloud data processing platforms.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
- Experience with at least one cloud platform, preferably Microsoft Azure; understanding of Data Lake/Lakehouse concepts.
Ideal Candidate Profile
- Strong hands-on data engineering skills with proven experience building and sustaining cloud-based ETL/ELT pipelines in an enterprise environment.
- Comfortable working with diverse data types (structured and semi-structured) and implementing data quality and validation techniques.
- Demonstrates interest and ability to work on AI-related data initiatives including Generative AI technologies and modern AI data preparation concepts.