Job Description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Position:

AWS Lead Architect

AWS Practice 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 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:

• 11 - 16 years of experience in AWS

• 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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