AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like Amazon S3 and EC2. The AWS Data Lake team is seeking an outstanding Data Engineer to join their mission of helping customers understand their AWS Cloud usage. The role involves processing billions of daily transactions into actionable information, working with cutting-edge technologies like Redshift, EMR, and other Big Data solutions.
As a Senior Data Engineer, you'll be instrumental in shaping AWS' data lake architecture and supporting systems. The position requires deep expertise in large dataset management across various platforms, combined with strong business acumen and communication skills. You'll work directly with business owners to understand data requirements and build ETL processes for data ingestion.
The team operates in an environment that values mentorship and continuous learning. AWS provides formal mentorship programs and encourages knowledge sharing among team members. The culture emphasizes work-life harmony and inclusive practices through employee-led affinity groups and ongoing learning experiences.
Working at AWS means joining a team that's disrupting the data warehouse industry using advanced technologies like Redshift and EMR. You'll be part of an organization that processes trillions of transactions worldwide, helping developers and businesses harness the power of cloud computing. The role offers opportunities to work with vast datasets, solve complex technical challenges, and drive business growth through data-driven decision making.
The position is based in Bangalore, India, where you'll be part of AWS's global team of innovators. You'll have access to career advancement resources, mentorship opportunities, and the chance to work on projects that impact millions of AWS customers worldwide. The role combines technical expertise with business impact, making it ideal for someone passionate about big data and cloud technologies.