Senior Data Engineering Lead
3 days ago
Senior Data Engineering Lead
About the Role:We are seeking an experienced Senior Data Engineering Lead to join our team at Webologix Ltd. as a Technical Architect - OLTP DB.
The successful candidate will be responsible for leading the design and implementation of scalable and high-performance OLTP database systems, developing data architecture strategies, and ensuring data integrity, availability, and security.
This role offers a unique opportunity to work on complex database-related projects and collaborate with cross-functional teams to drive business growth.
Key Responsibilities:
- Architectural Design: Develop and implement scalable and high-performance OLTP database systems, ensuring data integrity, availability, and security.
- Database Management: Oversee the configuration, tuning, and optimization of RDBMS platforms to handle high transaction volumes efficiently.
- Data Integration: Collaborate with data engineers and developers to integrate various data sources into the OLTP environment using Apache Spark with Python.
- Cloud Solutions: Design and implement cloud-based database solutions using any cloud platform (e.g., AWS, Azure, Google Cloud) to support data management and analytics.
- Technical Leadership: Provide technical guidance and mentorship to development teams on best practices for database design, data management, and the use of Python for data processing.
- Innovation & Improvement: Stay current with emerging technologies and industry trends, proposing and implementing enhancements to improve database performance and data handling capabilities.
Required Skills and Qualifications:
- Data Architecture: Strong expertise in designing data architectures for OLTP systems, including experience with data modeling, normalization, and transaction management.
- RDBMS Expertise: Proven experience with major RDBMS platforms (e.g., PostgreSQL, MySQL, Oracle, SQL Server), including performance tuning and optimization.
- Python Programming: Proficiency in Python, with a focus on using it for data processing, automation, and integration tasks.
- Apache Spark with Python: Hands-on experience with Apache Spark, particularly with PySpark, for large-scale data processing and transformation.
- Cloud Platforms: Experience with cloud-based database solutions and services on platforms such as AWS, Azure, or Google Cloud.
Benefits:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Average salary range: $120,000 - $180,000 per annum.
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