Position: Data Engineer
Company: Svitla Systems
Category: Data Science
Experience required: 5y
English level: intermediate

**Requirements: **
5+ years of experience with the relevant toolsets in the data warehousing domain.
Data Pipeline Build - ability to develop reusable framework & code to extract structured, semi-structured, unstructured data from disparate data sources, connect and transform the data,  load to the target table. Restart ability of data load, error logging, and instrumentation.
Data Streaming - ability to develop solutions for real-time data streaming.
Data Model - understanding the third standard form, star-schema, or interest in learning to make data pipeline development work faster.
Quality Engineering - the ability to automate the data comparison from source to target, aggregate, aggregate to reports/dashboards, and report comparison.
Data Testing - the ability to root cause data issues and good experience on SQL.
Data Warehouse - experience in data engineering work in a data warehouse environment and data services.
Production Support - troubleshooting job failures, SLA Management.
Subject Matter Expertise - ability to develop subject matter expertise while building data solutions.
Learn - interest in learning.

**Responsibilities:**
Perform data engineering work in a data warehouse environment and data services.
Develop reusable framework and code to extract structured, semi-structured, unstructured data from disparate data sources, connect and transform the data,  load to a target table. Restart ability of data load, error logging, and instrumentation.
Build solutions for real-time data streaming.
Automate the data comparison from source to target, a fact to aggregate, aggregate to reports/dashboard.
Troubleshoot job failures and SLA Management.