I. KEY RESPONSIBILITIES

1. Data Management & Development

Design, build, and operate data platforms such as Hadoop, Yarn, Spark (or alternatives like Kubernetes, Delta Lake (Iceberg), S3 on-prem).
Utilize ETL and orchestration tools including ODI, Airflow, or equivalent solutions.
Apply Git, Jenkins, and CI/CD practices in data engineering workflows.
Develop and implement Data Governance frameworks (e.g., DataHub, OpenMetadata).
Demonstrate strong expertise in PL/SQL (Oracle preferred).
Design, manage, and optimize Data Warehouse, Data Lake, and Data Mart systems to support analytics and reporting needs.

2. Data Quality & Integration

Standardize and ensure data quality through cleansing, reconciliation, periodic checks, and validation logic.
Collaborate with IT teams and business units to integrate data from multiple sources and systems.
Build and optimize ETL/ELT pipelines to extract, transform, and load data from databases, APIs, and files.

3. Data Platform Operations & Optimization

Ensure data integrity, availability, security, and performance across all data systems.
Optimize queries and large-scale data processing (big data) to improve performance and reduce processing time.
Develop automated data validation processes (e.g., schema checks, anomaly detection).

4. Team Management & Capability Development

Lead, coach, and develop a team of Data Engineers.
Establish internal processes, promote knowledge sharing, and standardize documentation and analytics practices.

II. REQUIREMENTS

1. Education & Certifications

Relevant degree in Information Technology, Data Engineering, Computer Science, or related fields
Relevant certifications are a plus

2. Experience

Proven experience in data platform development, data engineering, and reporting systems
Strong hands-on experience with big data technologies and ETL tools

3. Other Requirements

III. WHAT WE OFFER:

Data & Reporting Deputy Manager