Our vacancies: www.intellias.com/careers Contact us: job@intellias.com
9 апреля 2021

Strong Middle/Senior DevOps Engineer (вакансия неактивна)

Киев, Харьков, Львов, Одесса, Ивано-Франковск

Необходимые навыки

3+ years of experience as a DevOps Engineer;
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;
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;
Bug Tracking System: Jira;
Confluence.

Будет плюсом

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 of working in an Agile team and environment.
Higher Education:
Bachelor’s Degree or higher.

Предлагаем

Besides such basics as a competitive salary, comfortable and motivating work environment, here at Intellias we offer:

For your professional growth —
Innovative projects with advanced technologies;
Individual approach to professional and career growth (Personal Development Plan);
Regular educational events with leading industry experts;
English courses.

For your comfort —
Flexible working hours;
Spacious office with lots of meeting rooms;
Relocation program;
Kids’ room with professional baby-sitter (offices in Lviv & Kyiv).

For your health —
3 health packages to choose from — medical insurance, sports attendance or mix of both;
Annual vitaminization program;
Annual vaccination and ophthalmologist check-up.

For your leisure —
Corporate celebrations and fun activities;
Beauty parlor (offices in Lviv & Kyiv).

Обязанности

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.

О проекте

Implementation of Data Platform solution for Retail Bank within the following capabilities:

Core Data Platform;
Onboarded Data Producer/Consumer Applications, Configuration & Customisations;
Onboarding & Management of Data Producer/Consumer Applications;
Application, Data Source, Job, Job Data, Job Steps, and Data Access Taxonomies;
Standardized Push/Pull Streaming/Batch Ingestion Interfaces;
Polyglot Data-lake Storage (e.g., Bucket, KV, NoSQL, Search, Warehouse, SQL, etc.);
Customizable Ingestion Conformance-tier/Stage/Archive Processors;
Customizable Ingestion Optimised Format (e.g., Parquet/ORC) Processors;
Customizable Transformation/Enrichment Processors;
Customizable Microservices & API Processors;
Standardized Query API (e.g., J/ODBC) Data Access Interfaces;
Standardized Export API, Bucket Endpoint & Notify Data Access Interfaces;
Standardized Streaming Egress Data Access Interface;
RBAC (Role-Based Access Controls);
TLS (in-flight) & TDE (at-rest) Encryption capabilities;
Operational Metrics & Monitoring capabilities;
Data Platform Resource Utilisation Tracking & Cost Allocation capabilities;
DLM, Archive, Retention capabilities;
Schema Registry capabilities etc.