Position: data engineer
Category: Data Engineer
English level: upper
Years of experience: 3

Designed, built, and supported 20+ data pipelines
Implement Business Intelligence/ETL solutions to integrate disparate data sources 
Collected requirements and reported the progress
Performed source system analysis, data profiling, and design mapping logic between source systems of 15+ plants and data warehouse
Created data extraction, cleansing, and load programs to move data from source systems to data warehouse
Created and presented reports, analyses to executives
Developed scripts for analyzing logs of launched campaigns and incidents 
Developed pipelines for regular cleaning/updating tables in Oracle (using SAS Management Console, SAS Data Integration Studio)
Created CI/CD workflows
Developing scripts using SAS Enterprise Guide for team usage
Installing releases/hot-fixes from our contractor (SAS Institute)
Developing technical reports (using SAS and SQL)
Familiarity with SAS Customer Intelligence Studio and Oracle
Analyzing logs of launched campaigns and incidents (using Python)
Developing jobs for regular cleaning/updating tables in Oracle (using SAS Management Console, SAS Data Integration Studio)
Managing CI/CD workflows (Jenkins, Ansible)
Building and maintenance of data warehouses, data marts (Oracle, Vertica)
Developing ETL-processes using DataStage and SQL
Query optimization with execution plans
Troubleshooting and monitoring of jobs

Software engineer experienced in working across the different stages of the data pipeline, including ingestion, and integration.
I am willing to relocate anywhere globally or continue working remotely