Cloud Data Architect
7 days ago
About SLK Software
SLK Software is a global technology services provider that brings together AI, intelligent automation, and analytics to create leading-edge technology solutions for our customers. We foster a culture of partnership with our customers, led by an evolutionary mindset.
With over 20 years of experience, we've helped organizations across diverse industries reimagine their business and solve their present and future needs. We're certified as a Great Place to Work and encourage an approach of constructively challenging the status quo to enable peak business performance for our customers and ourselves.
Job ResponsibilitiesDefining and Establishing Data Strategy and Roadmap
Develop and implement data strategies and roadmaps that align with business objectives and drive data-driven decision-making.
Enterprise-Level Data Architecture and Solutions
Design and implement enterprise-level data architectures and solutions that leverage cloud platforms, big data technologies, and traditional databases.
Cloud Platform Expertise
Consult on enterprise data management solutions on cloud and new-age data platforms, with experience on big data platforms, traditional databases, and data warehousing.
Big Data Technologies
Architect and design solutions on big data, including data ingestion, distributed computing architecture principles, and expertise in Cloudera/Hortonworks ecosystem.
Stream-Processing Systems
Experience with building stream-processing systems using solutions like Kafka, Spark, and Storm.
NoSQL Databases
Expertise in working with NoSQL databases like HBase, Cassandra, and MongoDB.
Messaging Systems
Experience with various messaging systems like Kafka or RabbitMQ.
Technical and Analytical Skills
Highly technical and analytical, with 10+ years of experience in analytics platform implementation or operations.
Database and Analytics Technologies
Deep understanding of database and analytics technologies, including MPP, relational, and NoSQL databases.
Implementation and Performance Tuning
Implementation and performance tuning experience on traditional data warehouses, Hadoop, and cloud ecosystems, including Hadoop Streaming, Spark, Pig, and Hive.
Data Warehousing Platforms
Implementation and tuning experience of data warehousing platforms, including knowledge of data warehouse schema design, query tuning and optimization, and data migration and integration.
Analytics Presentation Layer
Experience of requirements for the analytics presentation layer, including dashboards and reporting.
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