Key Responsibilities:

Design and develop scalable big data solutions using tools like Hadoop, Spark, and Kafka.
Analyze and understand business requirements to create technical specifications and develop data models.
Lead a team of developers to deliver high-quality data solutions that meet business needs.
Collaborate with cross-functional teams to identify and resolve technical issues and drive solutions to completion.
Develop and maintain data pipelines and data integration processes.
Design and implement data security and access controls for big data systems.
Monitor and optimize the performance of big data solutions to ensure efficiency and reliability.
Keep up-to-date with emerging big data technologies and trends and apply them to enhance our data solutions.
Mentor and coach team members to enhance their technical skills and knowledge.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Minimum of 5 years of experience in big data development, with at least 2 years in a lead or supervisory role.
Strong experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
Proficient with programming languages such as Java, Python, or Scala.
Experience with data modeling, data warehousing, and data integration techniques.
Knowledge of cloud computing platforms like AWS or Azure.
Excellent problem-solving and analytical skills.
Ability to work in a fast-paced environment and manage multiple priorities.
Strong leadership and communication skills.

If you have a passion for big data and are looking for a challenging opportunity to lead a team in developing cutting-edge data solutions, we encourage you to apply for the position of Lead Big Data Developer.

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