Data Engineer

The BI Engineer will play a key role in contributing to the success of each focus area by partnering with respective business owners and leveraging data to identify areas of improvement and optimisation. He / She will build deliverables like business process automation, payment behaviour analysis, campaign analysis, fingertip metrics, failure prediction, etc. that provide an edge to business decision-making AND can scale with growth. The role sits in the sweet spot between the technology and business worlds AND provides opportunity for growth, high business impact and working with seasoned business leaders.
An ideal candidate will be someone with a sound technical background in the data domain - storage/processing/analytics- has solid business acumen and a strong automation/solution oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive and devise the best possible solution. Is a great communicator and at ease partnering with business owners and other internal/external teams. Can explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight and business impact/result and gets it done in business time.
Responsibilities:
Design, implement and support a data infrastructure for the analytics needs of a large organisation.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
Be enthusiastic about building deep domain knowledge about Amazon's business.
Must possess strong verbal and written communication skills, be self-driven, and deliver high-quality results in a fast-paced environment.
Enjoy working closely with your peers in a group of very smart and talented engineers.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Requirements:
3+ years of data engineering experience.
Experience with data modelling, warehousing and building ETL pipelines.
Experience with SQL.
Preferred Qualifications:
Experience with AWS technologies like Redshift, S3 AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).

Experience
3-6 yrs