Source description
About the role
As a Cloud & Data Engineering Leader, you will be responsible for leading the design, development, and implementation of scalable cloud-based data solutions to align with business objectives and technical requirements. Your key responsibilities will include: - Architecting and optimizing ETL/ELT pipelines using tools like Apache Spark, Databricks, and Airflow to efficiently process large datasets. - Leveraging AWS services such as S3, Redshift, Lambda, and Glue to build robust data architectures and ensure seamless integration with existing systems. - Collaborating with cross-functional teams, including data analysts, product owners, and IT, to gather requirements and deliver data solutions that meet business needs. - Conducting performance tuning of data pipelines and queries to ensure optimal performance and scalability. - Implementing data governance practices to ensure data quality, security, and compliance with industry standards. No additional details of the company are mentioned in the job description. As a Cloud & Data Engineering Leader, you will be responsible for leading the design, development, and implementation of scalable cloud-based data solutions to align with business objectives and technical requirements. Your key responsibilities will include: - Architecting and optimizing ETL/ELT pipelines using tools like Apache Spark, Databricks, and Airflow to efficiently process large datasets. - Leveraging AWS services such as S3, Redshift, Lambda, and Glue to build robust data architectures and ensure seamless integration with existing systems. - Collaborating with cross-functional teams, including data analysts, product owners, and IT, to gather requirements and deliver data solutions that meet business needs. - Conducting performance tuning of data pipelines and queries to ensure optimal performance and scalability. - Implementing data governance practices to ensure data quality, security, and compliance with industry standards. No additional details of the company are mentioned in the job description.