Data Engineer

Hi,

Hope you are doing Great.

If you are fine with below job description, please share me your updated resume.

Data Engineer – AWS

Toronto, ON – 3days onsite in a Week

Contract : 6Months

Role Descriptions: Design| build| and maintain batch and streaming ETL pipelines using Python| PySpark| and orchestration tools (e.g.| Airflow| AWS Step Functions| Glue workflows). Strong hands-on experience in Python| PySpark| SQL| AWS| and ETL to build and optimize scalable data pipelines and warehouse solutions. Work closely with Data Scientists| Analytics| and Business stakeholders to ensure reliable| high-quality data is available for reporting and advanced analytics Develop optimized SQL for data modeling| transformations| and performance tuning across Data WarehousesLakes. Implement robust data ingestion frameworks from APIs| files| and RDBMS manage schema evolution and partitioning strategies. Build and maintain data models (starsnowflake schemas| dimensional modeling) to support BIAnalytics and downstream ML workloads. Ensure data quality (validations| profiling| observability| lineage) and implement error handling and recovery patterns. Optimize PySpark jobs (shuffle management| partitioning| broadcast joins| caching) and SQL queries (explain plans| indexes| sort keys). Collaborate with stakeholders to translate requirements into technical designs| document pipelines| schemas| and runbooks. Maintain and automate UnixLinux scripts for jobs| monitoring| and data operations. Uphold security and compliance (PII handling| encryption| role-based access| auditability). UnixLinux scripting and operations are a plus.

Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Data Warehouse~Digital : Python for Data Science~Digital : PySpark

Experience Required: 2-4

Regards

Rakesh Ummadi

Apptoza Inc