Напиши текст вакансии для должности "Big Data Solution Architect". Название компании: "EPAM Systems, Inc.". Расположение: Москва. График работы: Удаленная работа. Опыт работы: От 1 года до 3 лет. Ключевые навыки: 'Английский язык', 'AWS', 'Hibernate', 'Удаленная работа', 'Architecture', 'JPA', 'Proof of Concept', 'SQL', 'Big Data', 'Solution design', 'IoT', 'ML', 'Kafka', 'Hadoop'

Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts. DESCRIPTION We are looking for Solution Architects any level for data-driven projects. Together we design and drive lots of solutions which generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms.   Set of used technologies is very wide, so any technology background of the Solution Architect is acceptable. We provide a solid architecture framework, educational programs, and strong SA community to support you in a deep dive to data domain. RESPONSIBILITIES  Design and evolve large-scale data-driven solutions Drive direct communications with business stakeholders Elaborate on all technical aspects for the development team, provide justification for any architectural decision Participate in the full cycle of pre-sale activities Lead solution architecture reviews and architecture audits  REQUIREMENTS  Experience in technological solution design (be responsible for the entire solution from the technological perspective) Knowledge of architecture and design patterns in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.) Wide awareness of technological landscape in at least 3 technology domains Deep understanding of the technology’s internals from at-least 1 domain Structured and systematic knowledge of the entire architecture designing process (requirements, quality attributes, technology choosing, proposal verification, documentation, etc.) Experience in all phases of the software development life cycle using different development methodologies and practices Highly organized and detail-oriented Good communication skills Speaking English  NICE TO HAVE  Data domain experience (link to data practice landing page) Distributed systems experience Cloud experience Virtualized infrastructure experience (K8s, Mesos, etc.)  WE OFFER  Access to very wide set of different projects (differs by domain, platform/product type, tech stack, development methodology, geo location, etc.) Strong data SA community Outstanding career development opportunities Experience exchange with colleagues all around the world Competitive compensation depending on experience and skills Regular assessments and salary reviews Unlimited access to LinkedIn learning solutions Social package - medical care, sports, family care Free English classes Opportunities for self-realization Friendly team and enjoyable working environment Flexible working schedule Corporate and social events  some technologies we use (not all)  Programming Languages: Java, Scala, Python Distributed Environments: Kubernetes, Mesos, YARN, AWS ECS Distributed processing: Spark, Flink, Hadoop, Beam, Databricks, AWS Glue Integration &amp; flow management: NiFi, StreamSets, Talend, Airflow, Azure Data Factory, Kafka Connect Streaming: Kafka, Pulsar, AWS Kinesis Object storages: S3, ADLS, HDFS, Minio, Ceph DBs: Cassandra, HBase, Clickhouse, Druid, Kylin, Redis, Greenplum, Teradata, Snowflake, GCP BigQuery Search platforms: Solr, Elasticsearch IMDG: Ignite, Hazelcast, Coherence ML: MLflow, Kubeflow, AWS Sagemaker, Azure ML, Google AI Platform, feast.dev Data Visualization: Power BI, Tableau, QlikView, Jupyter