Senior Data Engineering Lead

3 days ago


Kolkata, West Bengal, India Webologix Ltd INC Full time
Job Title:

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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