Data Engineer



Job Description

    • Designed, developed, tested, and operated large-scale, high-volume, high-performance data architectures for analytics and reporting
    • Built and optimized ETL / ELT data pipelines using best practices in data modeling and data engineering
    • Developed robust and scalable data ingestion and transformation pipelines using SQL, Python, and Spark
    • Implemented AWS-based data solutions using services such as Redshift, S3, Glue, EMR, and OLAP technologies
    • Created and maintained data models, metadata layers, and schemas for ad-hoc and pre-built reporting
    • Collaborated closely with product, business, and engineering teams to understand requirements and deliver end-to-end reporting solutions
    • Worked with Analysts, BI Engineers, and Product Managers to enable data-driven decision making
    • Automated and improved reporting and analytics workflows to support self-service analytics
    • Ensured data quality, reliability, scalability, and performance across data platforms
    • Supported statistical analysis and machine learning use cases by enabling rich, well-structured datasets
    • Participated in strategic and tactical planning, including annual planning and roadmap discussions
    • Communicated effectively with global stakeholders across India, US, and EU teams
    • Troubleshot production issues and optimized queries for performance and cost efficiency

Job Details

Experience : 2 To 7
Number Of Vacancies : 1
Job Type : Permanent
Industry Type : IT/Software
Salary : 15 Lac - 20 Lac P.A

Education Summary

UG : BE/B.Tech PG : Any PG Degree

Contact Details

Contact Person : NA
Contact Number : 4430883088
e-mailId : melwintp@amazon.com
Address :
Amazon Development Centre (India) Pvt Ltd,
#40, 3rd Floor, SP InfocityM G R Salai,
Perungudi, Kandanchavady,
Chennai.

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Office Location

Central Jakarta No 1234, Jakarta, Indonesia