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 Databricks.
Analyse, 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
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:
13+ years experience in the industry.
Bachelor s 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, Scala, Python, and shell scripting.
Working 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 ones such as CloudWatch, Prometheus, and the ELK stack would be big advantage.

Lead Architect AWS