Position: Senior Big Data Engineer
Company: Svitla
Category: Python
Experience required: 5y
English level: upper

Svitla Systems Inc. is looking for a Senior Big Data Engineer for a full-time position (40 hours per week) in Ukraine. Our client is developing an innovative Decision Intelligence platform that is changing how enterprises utilize AI to transform their decision-making. The design is based on several patented methods built around the concept of an opportunity and cognitive decision-making. It is currently being deployed across several large enterprises in retail, financial, manufacturing, and automotive/OEM customers to solve unique and interesting business problems. These deployments are extensive, highly complex, with multi-year support for ongoing enhancements. We seek highly motivated, enthusiastic, and energetic individuals to join this fast-growing team — an excellent opportunity for critical thinkers to learn some of the most advanced technologies and business-related acumen.

**Requirements:**

 - Master’s Degree or Ph.D. in Computer Science, Engineering, Information Technology (IT) or related field;
 - Experience and desire to work in a fast-paced, collaborative, global delivery environment;
 - 7-10 years experience as a big data engineer at a data-driven, enterprise-grade technology working with large amounts of data in a continuously scaling environment;
 - Deep expertise in cloud-based platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud (GC);
 - Deep understanding of big data technologies and big data security models;
 - Prior software development experience with data-driven product companies using Spark, SQL, Python, Scala, or advanced analytical tools is a plus;
 - Experience with the data collection process and evaluation methods for Machine Learning;
 - Proficient in designing efficient and robust ETL/ELT workflows, schedulers, and event-based triggers;
 - Database experience, including knowledge of storage internals of SQL and NoSQL services;
 - Experience with development methodologies like CI/CD, Agile, Git, Jenkins, etc.;
 - Performance Tuning & experience with building scalable Data platforms;
Experience writing technical specifications and design sketches from both a business and technology standpoint;
 - Ability to break down large requests into sub-tasks and provide higher-level status updates;
 - Values the “team” and leverages the opinions and expertise of their teammates to deliver quality and the ability to influence cross-functional teams without formal authority;
 - Experience using OKRs to drive outcomes;
 - Excellent written and verbal communication skills.

**Responsibilities:**

 - You will be involved in designing, building, and deploying massively scalable, automated data ingestion and processing pipelines to store, analyze and derive insight from structured/unstructured data arriving from our clients and internal systems in multiple cloud environments;
 - You are expected to drive technology discussions and analyze the current landscape for gaps in addressing data, platform, and business needs;
 - Review existing architecture and capabilities from a technical perspective and challenge the status quo to provide thought leadership/best practices to enhance our instance strategy, technical governance, core data, integrations, and the overall technical health of our data and machine learning pipelines frameworks;
 - Interface with the customers and across the org in structuring and implementing solutions while demonstrating the ability to become a trusted advisor to clients, senior executives, and internal data science, product, and engineering teams;
 - Develop CI/CD processes for the Engineering and Data Science groups;
 - Develop QA/QC suites to process, cleanse, and verify the integrity of incoming data, including data anomaly detection;
 - Undertake project specific proof of concepts activities to validate technical feasibility;
 - Discuss with onshore/offshore teams on tasks to be done, and mentor junior members of the team;
 - Perform design & code reviews for team members and develop test plans;
Assist DevOps in configuring, operating, and maintaining our infrastructure environment.

**We Offer:**

 - Competitive compensation plan that takes skills and experience into consideration.
 - Annual performance appraisals.
 - Possibility to choose your workspace either remote or combination of your home and one of our development offices. 
 - Flexible working hours and adjustable work/life balance.
 - Projects that use advanced, cutting-edge technologies.
 - Competitive bonuses for a personal recommendation of new employees.
 - Vacation time, sick-leaves, national holidays, family supplementary days off.
 - Comprehensive medical insurance including dental services, massages, and sports activities.
 - Support for a healthy lifestyle, compensation of running events.
 - Maternity leave policy.
 - A personal loan budget is available for long-term personnel.
 - Partial compensation of conferences, courses, and English classes.
 - Free meetups, webinars, and conferences organized by Svitla.
 - Birthday presents for personnel and New Year gifts for children.
 - Fun summer and winter corporate parties and memorable anniversary presents.