Position: Big Data Architect
Company: Gemicle
Experience required: 3y
Category: Java
English level: upper
Published: 2022-08-01T00:00:00+03:00

As a Big Data Architect, you will work on the collection, storing, processing, and analysis of huge sets of data from heterogeneous domains. Your primary focus will be on researching optimal solutions appropriate for the aforementioned purposes and then implementing, maintaining, and monitoring them.

**What You'll Do:**
● Design, create, deploy, manage data pipelines within the organization
● Define how data will be streamed, stored, consumed, integrated by different data systems
● Create data architecture documents, standards, and principles and maintain knowledge of the data models
● Organize data at the macro-level (concepts), as well as micro-level by defining the data models, metadata, business entities, and relations
● Collaborate and coordinate with multiple teams/departments to identify the data domains and data gaps between current state systems and future goals
● Communicate clearly and effectively the data entities and their relationship within a business model
● Analyze data flow and recommend appropriate technologies to support the data requirements across the organization
● Design a system that can ingest structured and unstructured data and visualize, and prepare datasets that can be used by data scientists, and data engineers.
● Develop key metrics for tests on the data end create data quality rules
● Focus on performance, scalability, availability, and data governance

**What Skills and Experience You’ll Bring:**
● Experience in one of the following: Java or Scala
● Proficiency with Hadoop ecosystem services such as MapReduce v2, HDFS, YARN, Hive, HBase
● Experience with building stream-processing systems using solutions such as Apache Kafka and Apache Spark streaming
● Experience with designing, implementing, and deploying cluster data pipelines using Apache Spark framework (RDD, Dataframe, Streaming)
● Experience with integrating data from multiple heterogeneous sources and various formats (CSV, XML, JSON, Avro, Parquet)
● Experience with SQL databases and NoSQL databases, such as Elasticsearch and MongoDB
● Proficient understanding of microservices architecture and distributed systems
● Experience with Hadoop ecosystem on-premise or on-cloud
● Nice to have hands-on experience with Docker, Kubernetes