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Database Administrator
2 weeks ago
Database Administrator
Key Responsibilities & Skills:
- Evaluate DB features and related products.
- Expert knowledge in MS SQL, PostgreSQL and Oracle PL/SQL database (relational & NoSQL), Windows/UNIX scripting, and Java.
- Design, building and manage Database warehouse.
- Familiar with end-to-end supply chain and associated eco-systems and ability to architect and implement strategic recommendations
- Engage with the business and other IT teams to understand the strategies and requirements to conceptualize possible architectural alternatives
- Evaluate architectural alternatives with the business and IT and select the desirable alternatives for the business and platform
- Leverage best practices and solutions across regions, businesses and Logistics and Transportation platforms
- Incorporate organization and best practices in the architectural design
- Follow project management methodology and ensure the timely delivery of architectural designs
- Work without day-to-day supervision.
- Establish and maintain sound backup and recovery policies and procedures.
- Database design and implementation.
- Implement and maintain database security.
- Perform database tuning and performance monitoring.
- Setup and maintain documentation and standards.
- Work as part of a team and provide 24x7 support when required.
- Perform technical trouble shooting and give consultation to development teams.
- Interface with Oracle and Microsoft for technical support.
- Patch Management and Version Control.
- Installation, configuration and upgrading of Oracle server software and related products.
Preparing datasets and building models for machine learning and other AI-driven processes.
Experience in building ETL/ELT pipelines for data ingestion and transformation.
- Strong skills in SQL for data manipulation (DML), definition (DDL), and control (DCL) are essential for managing and querying data within the warehouse.
- The ability to analyze data and create reports or dashboards to provide actionable insights to business users.
- Ensuring the accuracy, consistency, and reliability of data within the warehouse through various cleansing processes.
- Discovering patterns and insights from large datasets within the data warehouse.
- Expertise in data modeling
- Familiarity with
big data technologies - Proficiency in
Python
(Pandas, PySpark, Airflow). - Knowledge of
shell scripting
for automation tasks. - Understanding of
APIs
(REST, GraphQL) for data integration. - Experience with
data warehouses - Understanding of
data lakes
and
lakehouse
architectures - Hands-on experience with
cloud platforms