Do you want to be in the forefront of engineering big data analytical solutions that takes Amazon's Finance Operations Accounting and Analysis (FOAA) Ordering-Operations models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Business Intelligence Engineers to be part of FOAA Ordering-Operations team to build data and analytics solutions powering Amazon's FOAA org. We perform data modeling, build real time analytical platforms using big data tools and AWS technologies like EMR, SNS, SQS, Lambda, DynamoDB Streams.

As a BIE II, you'll work on building analytical solutions that empower Central Accounting, Ordering as well as Transportation Tech teams worldwide. You'll develop both near-real-time (NRT) streaming pipelines and batch processing pipelines that deliver critical insights for decision-making. You'll also build metrics for the Central Accounting, Ordering and for Transportation,



while contributing to cutting-edge AI-powered solutions delivering automated insights across the FOAA org.

The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. The candidate is a self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced and global team. We're excited to talk to those up to the challenge

Key job responsibilities
- The ideal candidate is a highly analytical and critical thinker with advanced problem-solving, data mining, and scripting (Python) skills.
- They en

📌 Business Intelligence Consultant (Pune)
🏢 Amazon
📍 Pune