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About the role
As a skilled Data Engineer at Weekday's client, you will play a crucial role in designing, developing, and maintaining scalable data platforms that facilitate data-driven decision-making. Your responsibilities will include: - Designing, developing, and maintaining scalable data pipelines for processing both structured and unstructured data. - Building and optimizing cloud-based data solutions using modern data engineering best practices. - Developing and managing data ingestion, transformation, validation, and orchestration workflows. - Creating reliable ETL/ELT pipelines to support analytics, reporting, and operational use cases. - Ensuring data quality, consistency, and accessibility across systems while working with large datasets. - Developing and optimizing backend services and data processing applications using Java. - Implementing data governance, monitoring, and performance optimization practices. - Collaborating with product, analytics, and engineering teams to understand data requirements and deliver scalable solutions. - Troubleshooting data pipeline issues and proactively identifying opportunities for improvement. - Ensuring high availability, security, and scalability of data infrastructure. - Participating in architecture discussions and contributing to data platform modernization initiatives. - Supporting business intelligence, advanced analytics, and machine learning teams with reliable data assets. To be a great fit for this role, you should possess: - Strong experience in Data Engineering and building scalable data processing systems. - Proficiency in Java and cloud-native data engineering practices. - Hands-on experience with Google Cloud Platform (GCP) and its data ecosystem. - Strong understanding of data warehousing, data modeling, and distributed data processing concepts. - Experience building and maintaining high-performance ETL/ELT pipelines. - Familiarity with BigQuery, Dataflow, and other cloud-based data processing technologies is highly desirable. - Strong SQL skills and experience working with large-scale datasets. - Understanding of data architecture, data governance, and data quality frameworks. - Experience with workflow orchestration, monitoring, and automation tools. - Strong analytical thinking and problem-solving abilities. - Ability to collaborate effectively with cross-functional stakeholders and communicate technical concepts clearly. - Self-driven mindset with a focus on ownership, scalability, and continuous improvement. As a skilled Data Engineer at Weekday's client, you will play a crucial role in designing, developing, and maintaining scalable data platforms that facilitate data-driven decision-making. Your responsibilities will include: - Designing, developing, and maintaining scalable data pipelines for processing both structured and unstructured data. - Building and optimizing cloud-based data solutions using modern data engineering best practices. - Developing and managing data ingestion, transformation, validation, and orchestration workflows. - Creating reliable ETL/ELT pipelines to support analytics, reporting, and operational use cases. - Ensuring data quality, consistency, and accessibility across systems while working with large datasets. - Developing and optimizing backend services and data processing applications using Java. - Implementing data governance, monitoring, and performance optimization practices. - Collaborating with product, analytics, and engineering teams to understand data requirements and deliver scalable solutions. - Troubleshooting data pipeline issues and proactively identifying opportunities for improvement. - Ensuring high availability, security, and scalability of data infrastructure. - Participating in architecture discussions and contributing to data platform modernization initiatives. - Supporting business intelligence, advanced analytics, and machine learning teams with reliable data assets. To be a great fit for this role, you should possess: - Strong experience in Data Engineering and building scalable data processing systems. - Proficiency in Java and cloud-native data engineering practices. - Hands-on experience with Google Cloud Platform (GCP) and its data ecosystem. - Strong understanding of data warehousing, data modeling, and distributed data processing concepts. - Experience building and maintaining high-performance ETL/ELT pipelines. - Familiarity with BigQuery, Dataflow, and other cloud-based data processing technologies is highly desirable. - Strong SQL skills and experience working with large-scale datasets. - Understanding of data architecture, data governance, and data quality frameworks. - Experience with workflow orchestration, monitoring, and automation tools. - Strong analytical thinking and problem-solving abilities. - Ability to collaborate effectively with cross-functional stakeholders and communicate technical concepts clearly. - Self-driven mindset with a focus on ownership, scalability, and cont
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