Key Responsibilities:

Lead the design and development of our data platform, ensuring scalability, reliability, and performance.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Design and implement data models, data pipelines, and ETL processes to support data integration and transformation.
Develop data governance and security protocols to ensure data integrity and compliance.
Work closely with data scientists and analysts to provide them with clean and organized data for analysis.
Troubleshoot and resolve data platform issues in a timely manner.
Keep up-to-date with the latest technologies and industry trends, and recommend improvements to enhance the data platform.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 8 years of experience in data engineering, with at least 3 years in a lead or principal role.
Strong experience with data warehousing, data modeling, and ETL processes.
Proficiency in programming languages such as Python, Java, and SQL.
Experience with cloud-based data platforms, such as AWS or Azure.
Knowledge of big data technologies, such as Hadoop, Spark, and NoSQL databases.
Familiarity with data visualization tools, such as Tableau or Power BI.
Excellent problem-solving and analytical skills.
Ability to work independently and in a team environment.
Strong communication and interpersonal skills.

Opportunity to work on a cutting-edge data platform and make a significant impact on the company's growth.
Collaborative and inclusive work culture that encourages innovation and professional growth.
Competitive salary and benefits package.
Flexible work arrangements and a healthy work-life balance.
Professional development opportunities and training programs.

Apply now and join our team as a Principal Data Platform Engineer.

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