Solution Architect - Enterprise Analytics

Industry - Manufacturing

Category - IT & Systems

Job Type - Permanent

Job Description :

- Responsible for design and development of Big Data analytical applications and continuously enhance the project codebase

Client Details :

- The client is a leading player in the semi conductor space

Description :

- Responsible for design and development of Big Data analytical applications and continuously enhance the project codebase

- Needs to have strong Big Data and Spark Optimization knowledge

- Help build high performance and flexible streaming pipelines that can rapidly evolve to handle new technologies, techniques, and modeling approaches

- Research and evaluate current and upcoming technologies and frameworks.

- Buildout of data ingestion framework/pipelines and troubleshoot complex issues in a distributed platform

- Write complex ETL processes and framework using cloud native services like Azure Data Factory, Azure Functions, Azure batch

- Implement large-scale near real-time streaming data processing pipelines

- Identify and assist in implementation of automation for the validation and approval of design specifications.

- Work with infrastructure engineers to ensure smooth deployments and sustainable performance for the platform.

Profile :

- Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.

- 12-15 Years of IT Experience.

- Should have experience with distributed systems (Spark, HDFS, ADLS, Kafka, Solr, Elastic Search, Kerberos, Oauth2, Security- Authorization & Authentication)

- Prior experience working on stream processing systems in production such as enabling real time data analytics at scale using technologies like Apache Kafka, Flink, Spark, Druid, Cassandra, Elasticsearch etc.

- Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems

- Minimum of 5 years experienced working in cloud native environment (Azure, AWS, GCP)

- Hands on experience developing in Spark, Java, Spring Boot, Python

Job Offer :

- Handsome compensations

- Opportunity to work with a market leader

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Siddharth Kalra on +91 124 452 5484.

Contact - Siddharth Kalra - +91 124 452 5484

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