Job Description

Overall 12+ Years candidate.

Key Responsibilities:

• Lead a team of data engineers in developing and maintaining scalable data pipelines for the platform.
• Optimize data capture, ingestion, and processing workflows to support advanced analytics, data science, and operational intelligence.
• Collaborate with Data Platform Architects and ML Engineers to integrate feature stores, manage model deployments, and implement data preparation workflows.
• Ensure data engineering processes are designed for high performance, scalability, and resource efficiency.
• Provide technical leadership and mentorship to team members, fostering an environment of continuous improvement and innovation.
• Design and maintain data pipelines for streaming data, batch processing, and real-time analytics.
• Implement secure and scalable data capture and ingestion workflows.
• Support data preparation, exploration, and visualization to facilitate data-driven decision-making.
• Work closely with other engineering teams to ensure data pipelines are secure, efficient, and aligned with business requirements.

Qualifications:

• Bachelor's degree in computer science, a technical field, or a related business discipline; equivalent experience, certifications, or training will be considered. A master's degree is preferred.
• 5+ years of experience in designing and delivering secure cloud solutions.
• 3+ years of experience with Databricks.
• 2+ years of experience with Agile methodology.
• Strong problem-solving, analytical, and communication skills.

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