Cloud Data Architect Job in Kanini Software Solutions

Roles and Responsibilities

• Consult, design, build and operationalize large scale enterprise data solutions using one or more of AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue, Snowflake and Data bricks.
  
• Analyze, re-architect and re-platform on-premises data stores/ Databases to modern data platforms on AWS cloud using AWS or 3rd party services.
  
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
  
• Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3
  
• Strong experience in Azure is preferred with hands-on experience in 2 or more of these skills : Azure SQL DB ,Azure SQL Managed Instance ,Azure Data Lake Store, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Database for MySQLb
  
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
  
• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud as part of customer consultation and business proposals.
  
• Participate in client design workshops and provide trade-offs and recommendations towards building solutions.
  
• Mentor other engineers in coding best practices and problem solving
  

Requirements:

• 12 years experience in the industry.
  
• Bachelors Degree in computer science, Information Technology or other relevant fields
  
• Experience and knowledge of Big Data Architectures, on cloud and on premise
  
• Proficiency in AWS Collection Services: Kinesis, Kafka, Database Migration Service
  
• Proficiency in AWS main Storage Service: S3, EBS, EFS
  
• Proficiency in AWS main Compute Service: EC2, Lambda, ECS, EKS
  
• Proven experience in: Java, vWorking experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
  
• Proficient in AWS Redshift, S3, Glue, Athena, DynamoDB
  
• AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
  
• Working experience with Agile Methodology and Kanban
  
• Good knowledge of SQL .
  
• Experience in building and delivering proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
  
• Experience partnering with executive stakeholders as a trusted advisor as well as enabling technical implementers
  
• Working experience in migrating workloads from on premise to cloud environment
  
• Experience in monitoring distributed infrastructure, using AWS tools or open-source onessuch as CloudWatch, Prometheus, and the ELK stack would be big advantage.