Key Responsibilities:

Design, develop, and implement scalable and high-performance big data solutions that meet business requirements.
Collaborate with business stakeholders and cross-functional teams to identify and understand business needs and translate them into technical requirements.
Define and establish best practices and standards for big data architecture and development.
Lead the design and development of data pipelines, data lakes, and data warehouses to support data ingestion, storage, processing, and analysis.
Evaluate and recommend new big data technologies and tools to improve the efficiency and effectiveness of data solutions.
Ensure the security, reliability, and scalability of big data solutions.
Develop and maintain data architecture diagrams, data flow diagrams, and other documentation.
Mentor and guide junior team members on big data architecture and development best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 8 years of experience in big data architecture and development.
Proven experience in designing and implementing big data solutions using Hadoop, Spark, Kafka, or other big data technologies.
Strong understanding of big data concepts, data warehousing, and data modeling.
Experience with cloud-based big data solutions on AWS, Azure, or Google Cloud Platform.
Excellent communication, collaboration, and problem-solving skills.
Ability to work in a fast-paced and dynamic environment.
Strong leadership skills with the ability to mentor and guide junior team members.

Join our team and be a part of building cutting-edge big data solutions that drive business growth and success.

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