Do you want to be a leader in the team that takes Transportation and Retail 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 Then Transportation is the team for you. We are looking for top notch Data Engineers to be part of our world class Business Intelligence for Transportation team.

4-7 years of experience performing quantitative analysis, preferably for an Internet or Technology company

Robust experience in Data Warehouse and Business Intelligence application development

Data Analysis: Understand business processes, logical data models and relational database implementations

Expert knowledge in SQL. Basic understanding of statistical analysis. Experience in testing design and measurement.

Able to execute research projects, and generate practical results and recommendations

Proven track record of working on complex modular projects, and assuming a leading role in such projects

Experience with scripting languages, i.e. Perl, Python etc. BS/MS degree in Computer Science

Evaluate and implement various big-data technologies and solutions (Redshift, Hive/EMR, Tez, Spark) to optimize processing of extremely large datasets in an accurate and timely fashion.

Experience with large scale data processing, data structure optimization and scalability of algorithms a plus

Responsible for designing,



building and maintaining complex data solutions for Amazon's Operations businesses

Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions

system hardware, data storage, query optimization, AWS infrastructure etc.)

Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient

Makes enhancements that improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps)

Owns the data quality of important datasets and any new changes/enhancements

1+ years of data engineering experience

Experience with SQL

Experience with data modeling, warehousing and building ETL pipelines

Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

Experience with one or more scripting language (e.g., Python, KornShell)

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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📌 Data Engineer (AWS, SQL) (Secunderabad)
🏢 Amazon Thunder
📍 Secunderabad