Data Engineer
Deadline: 23 June 2024
Employment term: Permanent
Category: Data Science/Data Engineering
Job type: Full time
Location: Yerevan
Job description:
Our client is one of the leading reinsurance service providers across the globe.
DataArt was selected as a key technology partner in the realization of the client's IT modernization roadmap in 2023 and beyond.
This is one of the ongoing projects. DataArt Engineers will join client's teams to strengthen the tech, process, and quality expertise.
This is an early stage of engagement, so the successful candidate will be one of the first team members from the DataArt side. There are 3-4 client teams of 5-8 developers who will join. Teams are led by client representatives.
We are seeking an experienced and highly skilled Data Engineer. You will join Modelling Platform Consolidation (MPC) team on the migration of a sophisticated stack of on-premises analytical & modeling services into the AWS cloud.
/en/data-engineer-321
Job responsibilities
- Design and develop AWS-enabled solutions using Python as the main programming language
- Ensure newly developed applications have sufficient test coverage with a strong preference towards automated test suites
- Ensure application observability using standard AWS tools and services
- Collaborate with the broader development team on shared architecture, best practices, and development culture
- Provide guidance on the technological and methodological direction of systems in support of business strategies
Required qualifications
- Working experience in AWS Platform (or other cloud service like Microsoft Azure)
- Knowledge of PySpark and AWS
- Proficiency in SQL (essential)
- Experience working with AWS Redshift (or other MPP databases such as Azure Synapse, Teradata, Snowflake, etc.)
- Experience working with AWS S3 (or other cloud-based storage services)
- Deep experience working with RDMS (e.g. SQL Server, PostgreSQL, Oracle, MySQL, etc.)
- Knowledge of Data Mesh concepts
- A passion for learning new concepts and technologies
Required candidate level: Senior
Additional information
Аpply online via staff.am and follow entire application process.
Professional skills
Python
AWS
Soft skills
Teamwork
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About Company
DataArt is a global software engineering firm that takes a uniquely human approach to solve problems. With over 25 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help our clients create custom software that improves their operations and opens new markets.
DataArt has earned the trust of some of the world’s leading brands and most discerning clients, including Nasdaq, Travelport, Ocado, Centrica/Hive, Paddy Power Betfair, IWG, Univision, Meetup, and Apple Leisure Group among others.
DATAART IN NUMBERS
- 6000+ professionals
- 25 years in operation
- 25 offices in 14 countries
- <10 % attrition rate
- >30% are women
- 4.8 — Glassdoor review score
OUR CULTURE AND PRINCIPLES
People and relationships are the foundation of our success. We invest in long-term relationships, with our colleagues and clients alike. We embrace change and foster an environment of experiment and learning which lets us illuminate our talents and apply them within our ecosystem.
PEOPLE FIRST: our relationships with clients and colleagues are based on mutual respect, no matter our differences.
EXPERTISE: open up your potential within the DataArt ecosystem.
FLEXIBILITY: experiment and learn, and embrace change.
TRUST: is at the core of our relationships with partners and colleagues. We lead via context and let professionals do their work the best they can.
BENEFITS
- Health and Life Insurance
- Learning & Development opportunities
- 10 days paid time offs in case of sickness/special occasions
- Working from other offices
- Social events and teambuilding
Our policy of equal opportunities in employment
We are committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of bias including age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. DataArt is committed to providing a working environment free from harassment and bullying and ensuring all staff is treated, and treat others, with dignity and respect. Our commitment to promoting equal opportunities and creating a workplace free of harassment and discrimination is supported by the implementation of respective policies and controls, provides an appropriate environment to encourage good performance and conduct at all its working locations, at all times.
LOCATIONS
25 offices in USA, Latin America, Western and Eastern Europe and UK
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We are experts in
- Finance
- E-commerce and online-travel commerce
- Healthcare & Life sciences
- Media & Entertainment
- IoT/M2M and wearable devices
- Telecom
- Retail & Distribution
- iGaming
- Cloud solutions
- Machine learning
- Big Data
- Blockchain
- Mobile technology
- UX/UI design
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Learning & Development
- Internal Courses
- Learn Cafe Program (corporate access to LinkedIn Learning, study on other external educational platforms and get reimbursed)
- Corporate Online Library (45K+ professional books)
- Coaching Program
- Tech Skills Mentoring Program
- English & German Classes
- Soft Skills Live Online Trainings
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Photo Gallery
Contact details
Phone: +37460509797
Address: Dzorapi 70/3, 7 floor Yerevan, Armenia, Yerevan, Armenia