Position: Junior Data engineer
Company: SoftServe
Experience required: 1y
English level: intermediate

PROJECT DESCRIPTION:

Our client is one of the biggest American based compliance companies that runs its services in more than 150 countries all over the globe in the fields of audit, taxes, financial advisory and more.

The customer provides industry leading ETL (Extract, Transform, Load) toolsets to help access, discover, cleanse, integrate, and deliver data. Therefore, the client has developed a platform that provides a trusted infrastructure that can manage and store all types of data, both structured and unstructured, and scale storage from terabytes to petabytes with real-time performance.

Solutions and Assets on Platform:
- Intelligent Understanding, 
- Centralized data store to manage big data with volume & variety, 
- Powered by a variety of cutting-edge tools that are pre-integrated, 
- Preconfigured secure multi-cloud infrastructure, 
- Build, host & run analytical workloads.

Tech stack: SQL, Python

RESPONSIBILITIES:
- Work with PaaS technology (custom-built AWS-based – Cortex)
- Transforming SQL procedure into Python functions
- English Intermediate Strong+

KEY BENEFITS:
- Be a part of the team of the largest SoftServe partners
- Work with an innovative PaaS platform, which makes the transformation of large amounts of data and uses Machine Learning for deep data analysis
 - Ability to improve your skills in data analysis, ETL, building data workflows and warehouses, machine learning 

MUST-HAVE SKILLS:
- Syntax of T-SQL – Intermediate+
- Python – Intermediate+
- Experience with building APIs / Web Forms 
- English Intermediate Strong +

NICE-TO-HAVE SKILLS:
- MSSQL
- Experience with ETL, in particular - SSIS
- Pandas Library for Python
- Experience with Spark

SOFT SKILLS:
- Teamwork
- Information analysis
- Making decisions
- Systems thinking
- Tasks estimation