About this role
Minimum qualifications:
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline (required).
- Master's degree in a relevant field (Data Engineering, Computer Science, or related) is preferred.
Minimum experience:
- 10–15 years of overall experience in data engineering, data architecture, or data modeling roles, with at least 4–5 years in a managerial/technical leadership capacity.
- Proven, hands-on experience designing and building data pipelines and data models across Oracle, SQL Server, or other platforms; strong hands-on expertise in Cloudera/Hadoop ecosystem (HDFS, Hive, Spark, Kafka, Impala) is strongly preferred.
- Solid understanding of data security and privacy engineering (masking, tokenization, encryption, access control) as applied to data model and pipeline design.
- Experience in a regulated industry (banking/financial services preferred), with exposure to relevant regulatory/data protection frameworks, is highly desirable.
- Experience with orchestration, CI/CD, and automation practices for data engineering (e.g., Airflow, Git-based workflows) is an added advantage.
- Hands on experience on ETL/ELT tools like Informatica, SSIS, Talend or Data Stage