Our Client is seeking a Data Engineer (PL/SQL).
Responsibilities:
- Develop and maintain data models (dimensional and normalized) to support analytics and reporting
- Build and optimize enterprise data warehouse solutions across Oracle and Snowflake platforms
- Ensure efficient ingestion, transformation, and integration of structured and unstructured data
- Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Informatica and Python
- Support and enhance Oracle Analytics Server reporting environments
- Collaborate with BI and analytics teams to ensure data accuracy and usability
- Optimize data structures for reporting performance
- Develop and maintain solutions in Snowflake cloud data warehouse
- Implement best practices for cloud data architecture, cost optimization, and performance
- Work with NoSQL technologies (MongoDB) for semi-structured and unstructured data use cases
- Write efficient, reusable, and scalable code using Python and SQL
- Automate data workflows, monitoring, and alerting
- Implement CI/CD practices for data pipelines and database deployments
- Ensure data quality, consistency, and security across platforms
- Implement data validation, cleansing, and lineage tracking
- Adhere to corporate data governance and compliance standards
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience) and 7+ years of experience in data engineering and database administration
Strong expertise in:
- Oracle Database (Application DBA experience required)
- Informatica (ETL development)
- Data Warehousing concepts and architecture
Hands-on experience with:
- Snowflake
- Oracle Analytics Server (reporting and integration)
- Python
- SQL (advanced querying and performance tuning)
- NoSQL databases (MongoDB preferred)
Preferred Qualifications:
- Experience with cloud platforms (Azure, AWS, or GCP)
- Familiarity with modern data stack tools (dbt, Airflow, etc.)
- Knowledge of DevOps and CI/CD pipelines
- Experience supporting high-volume transactional systems (OLTP)
- Exposure to data governance and security frameworks
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