Data Engineer Developer/Lead

As a Google Data Engineer Developer/Lead at our company, your role is crucial in designing, developing, and optimizing robust data pipelines and scalable data solutions within the Google Cloud Platform (GCP) ecosystem. You will play a key part in turning raw data into actionable insights, collaborating closely with various teams like data scientists, business analysts, and product managers. Your contributions will directly impact strategic decision-making, enhance operational efficiencies, and help the business leverage data effectively to drive innovation and deliver superior value to customers. Key Responsibilities: - Architect and implement highly scalable and resilient data solutions on GCP using services like BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Composer to meet evolving business intelligence and analytics needs. - Develop, test, and deploy complex ETL/ELT processes to ingest, transform, and load large datasets from diverse sources, ensuring data quality, consistency, and timely availability for stakeholders. - Optimize existing data infrastructure and pipeline performance for efficiency, cost-effectiveness, and reliability, continuously seeking improvements in data processing and storage mechanisms. - Collaborate effectively with data consumers to translate intricate data requirements into technical specifications and deliver robust data products that drive strategic outcomes. - Provide technical leadership and mentorship to junior engineers, fostering best practices in data engineering and contributing to a culture of continuous learning and innovation within the team. Qualification Required: - Demonstrated deep expertise in Google Cloud Platform (GCP) data services, including advanced proficiency with BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Composer for orchestration. - Proven ability to design, build, and manage complex ETL/ELT pipelines for large-scale data processing and warehousing, ensuring data integrity and performance. - Strong command of SQL and programming languages such as Python, applied effectively for data manipulation, automation, and API integration. - Comprehensive understanding of data warehousing principles, dimensional modeling, and schema design best practices. - Exceptional analytical and problem-solving capabilities, with meticulous attention to detail in data validation and error handling. - Excellent communication and interpersonal skills, enabling effective collaboration with both technical teams and non-technical business stakeholders. - Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative discipline. - Adaptability to thrive in a dynamic, multi-location work environment across various cities in India, embracing hybrid or on-site work models as required. Please note that the company is not mentioned in the provided job description. As a Google Data Engineer Developer/Lead at our company, your role is crucial in designing, developing, and optimizing robust data pipelines and scalable data solutions within the Google Cloud Platform (GCP) ecosystem. You will play a key part in turning raw data into actionable insights, collaborating closely with various teams like data scientists, business analysts, and product managers. Your contributions will directly impact strategic decision-making, enhance operational efficiencies, and help the business leverage data effectively to drive innovation and deliver superior value to customers. Key Responsibilities: - Architect and implement highly scalable and resilient data solutions on GCP using services like BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Composer to meet evolving business intelligence and analytics needs. - Develop, test, and deploy complex ETL/ELT processes to ingest, transform, and load large datasets from diverse sources, ensuring data quality, consistency, and timely availability for stakeholders. - Optimize existing data infrastructure and pipeline performance for efficiency, cost-effectiveness, and reliability, continuously seeking improvements in data processing and storage mechanisms. - Collaborate effectively with data consumers to translate intricate data requirements into technical specifications and deliver robust data products that drive strategic outcomes. - Provide technical leadership and mentorship to junior engineers, fostering best practices in data engineering and contributing to a culture of continuous learning and innovation within the team. Qualification Required: - Demonstrated deep expertise in Google Cloud Platform (GCP) data services, including advanced proficiency with BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Composer for orchestration. - Proven ability to design, build, and manage complex ETL/ELT pipelines for large-scale data processing and warehousing, ensuring data integrity and performance. - Strong command of SQL and programming languages such as Python, applied effectively for data manipulatio