Key Responsibilities:

Develop and implement strategies for efficient and effective data management, storage, and analysis.
Oversee the design, development, and maintenance of the company��s big data infrastructure, ensuring scalability and reliability.
Lead a team of data engineers and analysts, providing guidance and support to ensure high-quality work and timely project delivery.
Collaborate with cross-functional teams to identify business needs and requirements, and translate them into actionable data solutions.
Develop and maintain data governance policies and procedures to ensure data accuracy, consistency, and security.
Monitor data performance and troubleshoot any issues that may arise, ensuring minimal downtime.
Stay up-to-date with industry trends and advancements in big data technologies, and make recommendations for their implementation.
Manage the budget for big data projects, ensuring cost-effectiveness and ROI.
Train and mentor team members to enhance their skills and knowledge in big data technologies and tools.

Qualifications:

Bachelor��s or Master��s degree in Computer Science, Information Systems, or a related field.
Proven experience in managing big data projects and teams in a fast-paced and dynamic environment.
Extensive knowledge and hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
Strong understanding of data warehousing, ETL, and data modeling concepts.
Experience in programming languages such as Java, Python, or SQL.
Excellent leadership and team management skills.
Strong problem-solving and analytical abilities.
Excellent communication and interpersonal skills.
Ability to work independently and in a team setting.

Join our team and be a part of a company that is at the forefront of data-driven innovation.

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