Bie Ii

3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines

Amazon India Security & Loss Prevention (SLP) team is seeking a highly organized, curious, resourceful, and experienced individual to join as a Sr. Business Intelligence Engineer, supporting India Operations. The mission of the India SLP team is to mitigate security and operational risks to the associates, data, physical assets & inventory. The SLP team ensures smooth run of the day-to-day business operations by protecting against various threats and by managing security and loss prevention risks, thereby ensuring a safe and secure work environment. This is achieved by preventing the security related risks and vulnerabilities as early as possible; by intervening in unfolding incidents and exposures in order to minimize any negative impact; and by investigating thoroughly security related incidents in order to identify and remove root causes and to prevent re-occurrence.

**Key responsibilities include**:
1.Critically assess stakeholders' requests to develop the best solutionLead the design and implementation of complex BI solutions.
2.Mentor and provide guidance to junior BI engineers.
3.Conduct performance tuning of BI queries and dashboards.
4.Collaborate with stakeholders to define BI requirements.
5.Stay abreast of industry trends and advancements in BI technologies.
6. Critically assess stakeholders' requests to develop the best solutionLead the design and implementation of complex BI solutions.
7.Mentor and provide guidance to junior BI engineers.
8.Conduct performance tuning of BI queries and dashboards.
9.Collaborate with stakeholders to define BI requirements.
10.Stay abreast of industry trends and advancements in BI technologies.

BASIC QUALIFICATIONS
1.Degree in Economics, Engineering, Statistics, Data Science, Computer Science
2.Extensive experience with multiple python libraries
3.Experience creating, deploying and maintaining machine learning models
**4.Experience with AWS technologies including**: S3, Lambda, SageMaker, Redshift and IAM roles and permissions.
5.Experience building complex SQL queries with large scale datasets
6.Experience building products on data visualisation tools - QuickSight, PowerBI, Tableau
7.Experience with data modeling, warehousing and building ETL pipelines
8.Experience with scripting language (e.g., Python, Java, or R)
9.Understanding of statistical methods (e.g. t-test, Chi-squared).

PREFERRED QUALIFICATIONS
1. Experience working directly with business stakeholders to translate between data and business needs
2. Technical Program Management / Product Management
3. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift. Knowledge of AWS services and Data Engineering basics.
**4. Experience with big data technologies such as**: Hadoop, Hive, Spark, EMR
5. Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
6. Experience in designing and delivering cross functional custom reporting solutions.
7. Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
8. Proven ability to meet tight deadlines, multi-task, and prioritize workload.
9. A work ethic based on a strong desire to exceed expectations.
10. Proven track record of ability to influence business partners to balance the need to deliver fast and build scalable solutions.

Bengaluru, KA, IND
- 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)