Opis stanowiska pracy
Staff Data Engineer
Kraków
NR REF.: 1184763
Your new company
For our client, a company that provides SaaS products related to sales, customer support, and other customer communications, we are looking for a Staff Data Engineer.
Your new role
As a Senior Data Engineer on Foundation Analytics, you will be responsible for building many key parts of the foundation data services platform including next generation reporting and analytics. Working closely with your team members to craft, develop and deliver reporting products for our customers and high quality software projects on time.
What you’ll be doing
- Publish well written and tested code to production
- Participate in designing and developing key features and functionality of our data platform
- Investigate production issues and fine-tune our data pipelines
- Continually improve data pipelines for high efficiency, throughput and quality of data
- Build a platform that will be the foundation for our customer facing reporting features, our machine learning initiatives, and internal product analytics
- Collaborate with team members on researching and brainstorming different solutions for technical challenges we face
- Solve sophisticated problems with passion and technical leadership. Helping to discover solutions to sophisticated problems
- Develop standard methodologies and mentor others to help make technical decisions on projects
What you39ll need to succeed
Basic Qualifications:
- 7+ years of software development/data engineering experience with 3+ years of hands-on experience of building scalable data platforms and/or reliable data pipelines
- Java, Python, Scala (proficient in at least one)
- Developer skills; demonstrating a strong passion to design scalable and fault-tolerant software systems
- Experience with AWS or related cloud technologies
- Experience in developing and operating high volume, high availability environments
- Working understanding of Kubernetes’ infrastructure and security best practices
- Ability to work optimally in a multifaceted, occasionally interrupt-driven environment that includes geographically spread teams and customers
- Solid working understanding in Data Modelling
- Proven track record with cloud and data related technologies.
Preferred Qualifications:
- Experience writing ETL jobs to help address various data engineering challenges
- Strong understanding of Build tools and Deployment tools
- Familiarity with Kafka, Flink, Spark frameworks with validated understanding of at least one job scheduling tool: Airflow, Celery, AWS Step functions
What you need to do now
If you39re interested in this role, click 39apply now39 to forward an up-to-date copy of your CV, or call us now.
Hays Poland sp. z o.o. is an employment agency registered in a registry kept by Marshal of the Mazowieckie Voivodeship under the number 361.
Prezentacja firmy
HAYS Poland jest firmą doradztwa personalnego, należącą do międzynarodow...
HAYS Poland jest firmą doradztwa personalnego, należącą do międzynarodowej grupy HAYS plc, notowanej na giełdzie w Londynie i największej na świecie firmy zajmującej się rekrutacją specjalistyczną.
Hays działa na rynku rekrutacyjnym od ponad 50 lat, posiada ponad 250 biur, w których łącznie pracuje ponad 10 tysięcy ekspertów w 20 specjalizacjach.
W 2003 roku otworzyliśmy pierwsze biuro w Polsce. Od tego czasu umocniliśmy naszą pozycję na polskim rynku, stając się niekwestionowanym liderem w rekrutacji specjalistycznej. Obecnie w Hays Poland zatrudnionych jest ponad 200 osób w biurach w Warszawie, Katowicach, Wrocławiu, Krakowie, Trójmieście oraz Poznaniu.
Cechą wyróżniającą HAYS jest unikalny system rekrutacji wysokiej klasy specjalistów w oparciu o podział na dywizje:
HAYS Accountancy & Finance
HAYS Construction & Property
HAYS IT & Telecom
HAYS Manufacturing
HAYS Pharma & Healthcare
HAYS Sales & Marketing
HAYS Executive
Rozwiń
Dodatkowe informacje
- Ostatnia aktualizacja:
- 06/05/2024
- Wymiar etatu:
- Pełny etat
- Rodzaj umowy:
- Na czas nieokreślony
- Liczba wakatów:
- 1
- Min. doświadczenie:
- 1 rok
- Min. wykształcenie:
- Policealne
- Branża / kategoria:
- Praca IT - Project Management, Praca IT - Programowanie / Analizy, Praca IT - ERP