Key Responsibilities:

Lead the design, development, and implementation of data processing systems and solutions to support business needs and objectives.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain data processing standards and best practices to ensure consistency and efficiency across all projects.
Design and implement data processing pipelines and workflows using modern tools and technologies.
Conduct thorough data analysis to identify trends, patterns, and insights that will inform data processing strategies.
Identify and resolve data quality issues, ensuring accuracy and completeness of data.
Develop and maintain data governance policies and procedures to ensure data security and privacy.
Keep up-to-date with industry trends and advancements in data processing technologies, and make recommendations for their adoption.
Mentor and train team members on data processing techniques and 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 data processing, with at least 3 years in a lead architect role.
Expertise in designing and implementing data processing pipelines and workflows.
Strong knowledge of data governance, data quality, and data security principles.
Proficiency in programming languages such as Python, SQL, and Java.
Experience with data processing tools and technologies, such as Hadoop, Spark, and Kafka.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Proven leadership experience, with the ability to mentor and develop team members.
Ability to thrive in a fast-paced and dynamic environment.

Join our team and be a part of our exciting journey towards innovation and growth.

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