DevOps Engineer (Data domen) Offline

Must have

experience in Data Engineering / DB Development / ETL-ELT Development (3+ years)

expert knowledge of Python, SQL, PL/SQL

good knowledge of RDBMS (Oracle, PostgreSQL, SAP IQ)

experience in Big Data stack (Hadoop, HBase, Kafka, Spark, Nifi, Superset)

experience in AWS (EC2, S3, EBS, EKS, Lambda, Athena, SNS/SQS)

experience in Kubernetes, Docker, Linux, UNIX

experience in Git (GitLab), Bitbucket, Ansible, Bash, Nexus

Experience in maintaining and executing build scripts to automate development and production builds

IT skills:

Practical experience in IT systems building & support;

Automation of: installation & maintenance routines, troubleshooting, incident mgmt (logs; monitoring KPIs, triggers & alerts);

Analyzing the needs and proposals of business units in order to improve the services;

Control and enforcement of services on-time implementation & delivery

experience in Network Protocols: SMTP, SNMP, ICMP, TCP/IP, FTP, TELNET, NIS, LDAP, UDP

good communication skills (English intermediate+) – verbal and written

Nice to have

experience in Apache NiFi, Pulsar, Groovy

knowledge of Jenkins and CI/CD principles, experience in pipelines development

knowledge and experience in Data Science / Machine Learning

experience with processing of large amount of data

analytics and design skills

experience in Jira and Confluence

Responsibilities

design and development of data processing pipelines for ML solutions

building cloud native deliveries for on-premise Kubernetes cluster or AWS deployment

interacting with stakeholders for requirements elicitation

research and prototyping of promising tools/approaches/practices with further implementation

managing knowledge base / technical documentation for developed solutions

participating in Enterprise Data Platform design and development

Deep co-operation with Product Teams (POs, analysts, architectors, devs, testers, IT-deliverers, etc.);

SW Architecture design & maintenance ;

Release, Delivery , Change Mgmt, Support , Incident mgmt &

Troubleshooting:

Planning & control. Improvement & development

Technical requirements & specifications preparation & approval

API/ specifications development, maintenance & approval

Ensuring quality testing (QAT, integreation)

Providing quality & on-time SW delivery (installation & configuration) & support

Expectations:

Excellent communication, interpersonal, and analytical skills. Proven ability to learn and rapidly adapt to new challenges

Good interaction with developers, managers, and team members to coordinated job tasks and strong commitment to work

passion for data

good team player

fast learner and adaptable to changing environment

result oriented and proactive

problem solving skills

We offer:

• You will work in a large international company that provides possibilities for professional and personal growth

• Involvement into challenging, large-scale and diverse projects which have impact for our customers

• Become a part of a highly professional and successful team with an international company culture

• Knowledge sharing with colleagues from abroad (strong IT community including 14 Raiffeisen Group Banks)

• Flexible working hours, 28 days of paid vacation, official employment, distant work possible

• Attractive social package and well-being (health insurance, gym)

• Corporate English courses, soft skills trainings at our corporate L&D academy

• Team building activities and involvement into social projects