Key Responsibilities:

Design and implement big data solutions that meet the business needs of our clients
Analyze and understand complex data sets to identify patterns and insights
Collaborate with cross-functional teams to develop and implement data-driven solutions
Develop and maintain data architecture and data models
Create and maintain data pipelines for the extraction, transformation, and loading of data
Evaluate and recommend new technologies and tools to enhance the big data ecosystem
Ensure data security and compliance with data privacy regulations
Provide technical leadership and mentorship to junior team members
Communicate complex technical concepts to non-technical stakeholders
Stay updated with industry trends and best practices in big data architecture and analytics

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems or related field
Minimum of 8 years of experience in big data architecture and analytics
Strong proficiency in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases
Experience with data modeling, data warehousing, and data integration
Proven track record of designing and implementing large-scale data solutions
Excellent problem-solving and analytical skills
Strong communication and interpersonal skills
Ability to work independently and in a team environment
Experience in cloud-based environments such as AWS or Azure is a plus
Big data certifications such as Cloudera Certified Professional (CCP) or Hortonworks Certified Developer (HDPCD) is a plus

Join our team and be part of a company that values innovation, collaboration, and continuous learning.

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