Data Engineer Middle
GlobalLogic 
Job Description
- Job: IRC110056
- Location: Ukraine - Kyiv, Lviv, Kharkiv, Mykolaiv
- Designation: Software Engineer
- Experience: 1-3 years
- Function: Engineering
- Skills: Big Data, Continuous Integration, Data Analyst
Client is a product international company with a common goal to redefine the legacy approach to Privileged Access Management by delivering multi-cloud-architected solutions to enable digital transformation at scale. Client company establishes a root of trust, and then grants least privilege access just-in-time based on verifying who is requesting access, the context of the request, and the risk of the access environment. Client’s products centralizes and orchestrates fragmented identities, improves audit and compliance visibility, and reduces risk, complexity, and costs for the modern, hybrid enterprise. Over half of the Fortune 100, the world’s largest financial institutions, intelligence agencies, and critical infrastructure companies, all trust this company to stop the leading cause of breaches – privileged credential abuse.
Requirements:
- PhD, Master or Bachelor degree in Computer Science, Math, Physics, Engineering, Statistics or another technical field;
- Experience in IT for more than 3 years;
- Experience in Data Engineering for more than 2 years;
- Understanding of major programming languages like Java, Scala, Python;
- Familiar with defining Data Governance concepts (incl. data lineage, data dictionary);
- Good knowledge in data modelling, query optimization on different storage solutions such as RDMS, document stores;
- Сommercial experience with:
- building and optimizing big data pipelines, architectures and data sets;
- performing root cause analysis on internal and external data processes;
- Distributed systems, Big Data technologies, Streaming technologies (e.g. Hadoop, Spark, Kafka, Data Lakes);
- variety of database (RDBMS, NoSQL);
- CI/CD;
- Experience with different delivery and development processes and practices:
- Troubleshooting, profiling and debugging;
- Agile, SCRUM software processes and technologies;
- Code Review process;
- Intermediate+ English.
Preferences:
- Docker, Kubernetes, Apache Spark, Apache Kafka
Job Responsibilities:
- Develop and maintain optimal data pipeline architecture;
- Identify ways to improve data reliability, efficiency and quality;
- Prepare data for predictive and prescriptive modeling Build predictive models;
- Create data tools for data scientist team members;
- Taking part in the decision-making process in design, solution development and code review;
- Working in an international distributed team;
- Communicate with PM, PO, Developers and other colleagues and stakeholders;
- Delivering the product roadmap and plannings, create estimations;
What We Offer
- Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to participate in creating market-defining products using the latest technologies.
- Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
- Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible opportunities and options.
- Professional Development: Our dedicated Learning & Development team regularly organizes certification and technical / soft skill training to help you realize your professional goals.
- Excellent Benefits: We provide our consultants with competitive compensation and benefits
- Fun Perks: We want you to love where you work, which is why we host sports classes, cultural, social and team building activities such as sports competitions and end-of-year corporate parties. Our vibrant offices also include dedicated GL Zones and rooftop decks where you can drink coffee or tea with your colleagues over a game of table football or darts!
