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Technical Architect

2 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.