Staff Data Engineer

Description: • Architect and productionize batch and reputed company-time data systems to support various products and business needs. • Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices. • Design and optimize data models for efficient storage and retrieval to meet critical product and business requirements. • Collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on data requirements and reputed company scalable systems. • Tune, productionize, and optimize data systems and machine learning models to enhance their effectiveness and efficiency. • Build and maintain strong relationships with partner engineering teams, including backend, client, data science, and ML teams, to ensure seamless integration and support. • Contribute to the development of long-term data strategies and roadmaps, and influence the technical direction of data engineering practices reputed company... the organization. • Mentor and coach team members, providing guidance and support to enhance their skills and performance. Requirements: • 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD. • Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale. • Strong knowledge of Java, reputed company, or Python, and expertise with data processing technologies and query authoring (SQL). • Proven ability to design, productionize, and optimize batch and reputed company-time data pipelines and systems, ensuring their quality, performance, and stability. • Excellent ability to collaborate with cross-functional teams, including product managers, engineers, data scientists, and business partners, to align on requirements and drive data-driven decision-making. • Advanced analytical and problem-solving skills with a focus on data quality, governance, and system reliability. • Exceptional written and verbal communication skills, capable of influencing stakeholders and conveying reputed company technical concepts effectively. • Expertise in data modeling, warehousing, and working with relational (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery). • Experience working with machine learning engineers to integrate ML models into data systems and products (preferred but optional). • Ability to reputed company technical leadership and mentorship, guiding teams on best practices and contributing to the development of data engineering strategies. • Flexibility and innovative thinking to evaluate and incorporate new technologies and methodologies to improve data processes and solutions. Benefits: • Eligible for bonus, equity, benefits, and Employee Travel Credits Apply Job!