Position: Data Engineer
Company: Matrix
Experience required: 3y
English level: upper

Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 10,000 professionals, is looking for a Data Engineer to join one of our teams- Nintex!

Location - POLAND!

Here is our offer:

• Remote work and flexible working hours
• Professional and career benefits
• Top-quality work environment
• Additional 20 days of paid leave
• Free Hebrew and Business English classes

Nintex transforms the way people work, everywhere. Their products are the global standard for process intelligence and automation at more than 10,000 organizations across 90 countries.

As a Data Engineer you’ll help customers accelerate their digital transformation, bringing them a quicker, easier, better way to work. You will work on the next generation of Nintex's analytics and AI product, where will spend most of your time working on ETL’s, Data Ingestion, Apache Spark, Scala and mentoring other members of the team to design and implement our Analytics and AI/ML powered features.

**Responsibilities:**
• Participate actively in agile development cycle meetings
• Design, code, and unit test data engineering components and features that can be released/deployed through automation
• Ensure data completeness and correctness through cross-referencing to the original data source
• Design and develop ETL’s in line with best practices and techniques for data transformation and storage
• Deliver data engineering functions that ingest, sanitize, and join data from multiple sources
• Create data models that meets the needs of management stakeholders, data scientists, and analysts as required
• Analyze and evaluate data product/output to identify and recommend optimizations as required in its extraction, cleansing, and organization
• Identify and pursue opportunities to create or improve organizational data standards
• Take ownership of assigned work and liaise proactively and collaboratively with stakeholders to ensure quality features are produced on time
• Participate in technical and team interviews as directed and provide clear input into the decision-making process
• Proactively communicate your work and progress to your manager, extended technical team, and stakeholders during the development process, and immediately escalate any product quality or delivery issues
• Contribute to the support and maintenance of data engineering functions, including liaising with the support team to resolve issues that have been escalated
• Active part of the incident management process, including on-call rotation and working with the IM team to resolve incidents
• Work with data providers to document the incoming data stream’s domain boundaries, field datatypes, and term definitions in sufficient detail to enable transformation of the data for end-user consumption
• Design and implement data engineering solutions that adhere to Nintex guidelines in support of security, disaster recovery, scalability, availability, reliability, and durability

**Requirements:**
• Hands-on expertise with Apache Spark (Spark structured streaming), Scala and Spark SQL
• Experience in data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms
• Recent experience as a Data Engineer
• Experience with Azure technologies

**Advantages:****
• MS Databricks experience it highly advantageous
• Python experience will be a bonus
• Familiarity with the Delta Lake House paradigm is preferable
• Familiarity with streaming data sources is preferable

One last thing, if you have a lot of these skills, but not all of them, please still apply. We love to teach those who are willing to learn.