Job Description

ISsoft is an international IT company founded in 2004 as a Coherent Solutions Inc. subsidiary and fueled by 2000+ professionals. The company’s core competencies across multiple locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more.

We strive to create a work environment that is both productive and comfortable. What brought us to the top are ISsoft’s people. We value every aspect of their contributions and strive to make ISsoft a place for career growth and opportunities.

Company Background
The customer specializes in creating digital foundations that improve business operations and enhance performance. Using their expertise in cutting-edge insights and innovative strategies, they assist leaders in designing and implementing complex solutions to improve financial and operational performance, and not just survive but thrive.

Project Description
As a Data Engineer, you’ll be responsible for development of data pipelines to ingest, store and transform data for data analytics and system integration.

Technologies
Python
Synapse
Spark
Azure Data Bricks
Azure Data Factory
SQL Server/T-SQL
Git (version control)
Azure DB

Job Requirements
• 3+ years of experience with Azure DB and SQL Server/T-SQL;
• Certification Azure-104;
• Exposure to technologies such as Azure Data Lake storage, Synapse and Spark;
• Experience with Azure Data Bricks;
• 3+ years of experience in developing data warehouses and data-marts;
• 4+ years of experience in implementations using Agile methodologies;
• Experience in developing with Azure Logic Apps;
• Familiarity with security configuration and security policies, and best practices within a cloud environment;
• Experience in developing Azure Data Factory pipelines to orchestrate ingestion and transformation data for use in analytics and system integration;
• Experience working with Git version control;
• Level of English — from Upper Intermediate (spoken/written).

Desired Skills
• Bachelor’s Degree in Information Systems Management, Computer Science, or related field;
• Experience working with a multicultural and/or multilingual team across several time zones.

What Do We Offer
• Opportunity to share experiences at internal meetings and conferences;
• 100+ technical and non-technical training for development and broadening of horizons;
• Career growth and development;
• 15 fully compensated sick leave days;
• 18 working days of paid leave;
• IT Club Loyalty program gives a lot of discounts and bonuses;
• English courses;
• Remote work;
• Team sports activities, and corporate events.

Please take you time to see ISsoft Privacy Policy for Job Applicants for details on how we process your personal data: https://www.coherentsolutions.com/privacy-policy/

Quick response

Required Knowledge

• K0020   Knowledge of data administration and data standardization policies.
• K0022   Knowledge of data mining and data warehousing principles.
• K0083   Knowledge of sources, characteristics, and uses of the organization’s data assets.
• K0097   Knowledge of the characteristics of physical and virtual data storage media.
• K0420   Knowledge of database theory.
• K0095   Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).
• K0193   Knowledge of advanced data remediation security features in databases.

Required Skills

• S0042   Skill in maintaining databases. (i.e., backup, restore, delete data, transaction log files, etc.).
• S0045   Skill in optimizing database performance.
• S0028   Skill in developing data dictionaries.
• S0029   Skill in developing data models.
• S0202   Skill in data mining techniques (e.g., searching file systems) and analysis.

Required Abilities

• A0176  Ability to maintain databases. (i.e., backup, restore, delete data, transaction log files, etc.).
• A0029  Ability to build complex data structures and high-level programming languages.
• A0035  Ability to dissect a problem and examine the interrelationships between data that may appear unrelated.