Google BigQuery at Cognizant

AIA-Pune 
 

Job Summary

We are seeking a skilled Developer with 4 to 9 years of experience to join our dynamic team. The ideal candidate will have expertise in Cloud SQL and BigQuery working in a hybrid model with day shifts. This role involves developing and optimizing data solutions to drive business insights and efficiency. The position does not require travel.

Responsibilities

• Develop and maintain scalable data solutions using Cloud SQL and BigQuery to support business objectives.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
• Optimize existing data pipelines and workflows to enhance performance and reliability.
• Implement best practices for data security and privacy to ensure compliance with industry standards.
• Monitor and troubleshoot data systems to ensure seamless operation and minimal downtime.
• Provide technical support and guidance to team members on data-related projects and initiatives.
• Conduct regular data quality assessments and implement corrective actions as needed.
• Stay updated with the latest trends and advancements in cloud data technologies to drive continuous improvement.
• Document data processes and workflows to facilitate knowledge sharing and team collaboration.
• Participate in code reviews and contribute to the development of coding standards and practices.
• Design and implement data models that align with business needs and enhance data accessibility.
• Collaborate with stakeholders to identify opportunities for data-driven decision-making and innovation.
• Ensure timely delivery of data solutions and projects in alignment with business timelines.

Qualifications

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• Possess a strong understanding of Cloud SQL and BigQuery with hands-on experience in developing data solutions.
• Demonstrate proficiency in SQL and data modeling techniques to support complex data queries and analysis.
• Exhibit excellent problem-solving skills with the ability to troubleshoot and resolve data-related issues.
• Have experience working in a hybrid work model balancing remote and in-office collaboration effectively.
• Show a commitment to continuous learning and staying abreast of emerging data technologies.
• Display strong communication skills to articulate technical concepts to non-technical stakeholders.
• Be detail-oriented with a focus on delivering high-quality accurate data solutions.

Certifications Required

Google Cloud Professional Data Engineer Certification