Expoint – all jobs in one place
Finding the best job has never been easier
Limitless High-tech career opportunities - Expoint

Amazon Data Engineer II TFAW/Sherlock 
India, Telangana, Hyderabad 
234760099

Today
DESCRIPTION

As a Data Engineer you will be working on building and maintaining complex data pipelines, assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data.
Key job responsibilities
* Design, implement and support an analytical data platform solutions for data driven decisions and insights
* Design data schema and operate internal data warehouses & SQL/NOSQL database systems
* Work on different data model designs, architecture, implementation, discussions and optimizations
* Interface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies like EMR, RedShift, Elastic Search etc.
* Work on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
* Work on data lake platform and different components in the data lake such as Hadoop, Amazon S3 etc.
* Work on SQL technologies on Hadoop such as Spark, Hive, Impala etc..
* Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers
* Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
* Enjoy working closely with your peers in a group of talented engineers and gain knowledge.* Own the development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.


BASIC QUALIFICATIONS

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