Job Description
Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data tools
Build and maintain high-performance ETL processes that handle large-scale, complex datasets
Architect end-to-end analytical solutions that are highly available, stable, and cost-effective
Transform raw data into actionable insights through effective data modeling and integration
Implement best practices in data system creation, data integrity, and documentation
Proactively identify opportunities for process improvement and automation
Partner with business stakeholders to gather requirements and translate them into technical solutions 3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL 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)
Job Classification
Industry: Internet
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Amazon
Location(s): Hyderabad
Keyskills:
Automation
data engineer ii
Data modeling
Analytical
Process improvement
data integrity
big data
Data warehousing
Analytics
SQL