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Technical Architect

2 months ago

Ganganagar North Parganas, India Webologix Ltd INC Full time
Job Position: Technical Architect - OLTP DBJob Type: Full-TimeLocation: Kolkata, INExperience: - 12+ to 17 YearsMust Have: - Data Architecture;

RDBMS; Python; Apache Spark Python;

Any CloudKey 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.