SLK Software - Azure Data Architect - Big Data Technologies (10-15 yrs)

About SLK Software :

SLK Software is a global technology services provider focused on bringing AI, intelligent automation, and analytics together to create leading-edge technology solutions for our customers through a culture of partnership with them, led by an evolutionary mindset.

For over 20 years, we've helped organizations across diverse industries insurance providers, financial service organizations, investment management companies, and manufacturers reimagine their business and solve their present and future needs.

Certified as a Great Place to Work- , we encourage an approach of constructively challenging the status quo in all that we do to enable peak business performance for our customers and for ourselves, through disruptive technologies, applied innovation, and purposeful automation.

Job Description :

- Cloud Data Architect with experience in Defining & Establishing Data Strategy & Roadmap, Enterprise Level Data Architecture & Solutions.

- Consulting experience on Enterprise Data Management Solution on Cloud and new age data Platforms with prior experience on BigData platform, Traditional Databases, Data Warehousing.

- Extensive experience working on Cloud platforms, Exposure handling enterprise cloud based implementation on more than one Platforms.

- Preferably on Azure and Hybrid Cloud (GCP, AWS).

- Experience working in Big Data technologies including the Cloudera/Hortonworks ecosystem.

- Extensive experience architecting and designing solutions on Big Data including data ingestion, Expertise of distributed computing architecture principles.

- Experience with building stream-processing systems, using solutions such as Kafka/spark/storm.

- Expertise working & handling with Spark based hadoop distribution & Platform.

- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.

- Experience with various messaging systems, such as Kafka or RabbitMQ.

- Highly technical and analytical, possessing 10+ years of analytics platform implementation or operations experience.

- Deep understanding of database and analytics technologies in the industry including MPP, Relational, and NOSQL databases.

- Implementation and Performance tuning experience on Traditional Data Warehouse, Hadoop & Cloud Ecosystem, including Hadoop Streaming, Spark, Pig and Hive.

- Implementation and tuning experience of Data Warehousing platforms, including knowledge of Data Warehouse Schema Design, Query Tuning and Optimization, and Data Migration and Integration.

- Experience of requirements for the analytics presentation layer including Dashboards, Reporting