Job Description

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

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