Company Overview

We as a leading Human Resources consulting company that specializes in recruiting and staffing for IT and non-IT companies. With over 18 years of industry experience, we have successfully supported and worked with 400+ companies across India. Our personalized approach and understanding of our clients' specific needs allow us to provide efficient and tailored staffing solutions.

Job Overview

We are looking for a highly skilled Data Architect to join our team. As a Data Architect, you will be responsible for designing, developing, and implementing data solutions for our clients. This is a full-time position based in Chennai, Tamil Nadu, India. The ideal candidate should have more than 10 years of experience in data architecture and possess a strong understanding of big data technologies and programming languages like Python. If you are passionate about data and have a knack for designing efficient and scalable data systems, we would love to hear from you.

Qualifications and Skills

• More than 10 years of experience in data architecture.
• Strong knowledge of big data technologies and frameworks.
• Proficiency in programming languages like Python.
• Proficiency in Spark
• Experience with data modeling and database design.
• Familiarity with data integration and ETL processes.
• Knowledge of cloud-based data solutions and platforms.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Roles and Responsibilities

• Designing, developing, and implementing data architecture solutions for clients.
• Collaborating with cross-functional teams to define and document data requirements.
• Developing data models and ensuring their integration with existing systems.
• Analyzing and assessing data architecture options to determine the most suitable approach.
• Optimizing data structures and systems for efficiency and performance.
• Ensuring data security and compliance with regulatory standards.
• Providing technical guidance and support to junior team members.
• Staying up to date with the latest trends and advancements in data architecture.