AWS Data Engineer
Acunor Infotech
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Remote
Tech stack
Airflow
Amazon Web Services (AWS)
Data analysis
Continuous Integration
Customer Data Management
Information Engineering
ETL
Data Warehousing
Dimensional Modeling
Jinja (Template Engine)
Python
Performance Tuning
Cloud Services
SQL Databases
Amazon Web Services (AWS)
Macros
Sql Optimization
Delivery Pipeline
Change Data Capture
Build Management
PySpark
Amazon Web Services (AWS)
Data Pipelines
Job description
- Design and build scalable data pipelines using DBT, SQL, and AWS
- Develop and maintain data warehouse solutions (Redshift)
- Implement dimensional models for analytics and BI
- Optimize SQL queries and improve data performance
- Ensure data quality, governance, and reliability
- Build infrastructure using AWS CDK and CI/CD pipelines
- Collaborate with cross-functional teams and support Agile delivery
Requirements
We are looking for an AWS Data Engineer with strong hands-on experience in DBT, AWS data stack, and dimensional modeling. The role involves building scalable, cloud-native data platforms to support analytics, marketing, and fan engagement use cases. Must-Have Skills
- 5+ years of experience in Data Engineering / Analytics Engineering
- 3+ years of hands-on experience with DBT (models, macros, packages)
- Strong experience with AWS services: Glue, Lambda, Step Functions, MWAA (Airflow), Redshift
- Advanced SQL skills with performance tuning
- Strong experience in Data Warehousing & Dimensional Modeling
- Experience building ETL / ELT pipelines
- Hands-on experience with AWS CDK (IaC)
- Experience with CI/CD tools (CodePipeline, CodeCommit)
- Knowledge of Jinja templating (DBT)
- Understanding of Change Data Capture (CDC), * Experience in Sports / Media / Customer Analytics
- Exposure to Customer Data Platforms (CDP)
- Experience with Python / PySpark
