Technical Architect

5 months ago

Kolkata, India Webologix Ltd INC Full time

Job Position: Technical Architect - OLTP DB

Job Type: Full-Time

Location: Kolkata, IN

Experience: - 12+ to 17 Years


Must Have: - Data Architecture; RDBMS; Python; Apache Spark Python; Any Cloud


Key Responsibilities:


Architectural Design: Lead the design and implementation of scalable and high-performance OLTP database systems. Develop data architecture strategies to meet business needs and ensure data integrity, availability, and security.

Database Management: Oversee the configuration, tuning, and optimization of RDBMS (Relational Database Management Systems) to handle high transaction volumes efficiently. Ensure databases meet performance, reliability, and scalability requirements.

Data Integration: Collaborate with data engineers and developers to integrate various data sources into the OLTP environment. Use Apache Spark with Python to facilitate data processing and transformation tasks.

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. Propose and implement enhancements to improve database performance and data handling capabilities.

Documentation & Compliance: Maintain thorough documentation of database architectures, designs, and configurations. Ensure compliance with industry standards and regulatory requirements.


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.

Problem-Solving: Strong analytical and problem-solving skills with a track record of resolving complex database-related issues.

Communication: Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.


Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or a related field.

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