Big Data Developer

Overview We are looking for a Senior Big Data Analyst with 8–12 years of experience to design and operate modern, cloud-native data pipelines on AWS. The role involves building scalable ETL workflows, developing high-performance Spark jobs, automating infrastructure with Terraform, and ensuring strong data quality, security, and monitoring. You’ll collaborate with global, cross-functional teams, support production systems, optimize cloud costs, and drive engineering best practices in an agile environment. As a key member of our team, you will be responsible for developing and maintaining large-scale data processing pipelines using AWS Glue, Apache Spark, and other big data tools. Your expertise will help us to improve the efficiency and scalability of our data processing workflows, ensuring that we can handle increasing volumes of data with ease. In addition, you will work closely with our data scientists and engineers to design and implement data visualizations and reporting dashboards using Tableau or similar tools. You will also be responsible for monitoring and troubleshooting production systems, identifying and resolving issues in a timely manner, and collaborating with other teams to resolve complex technical problems.