We're committed to bringing passion and customer focus to the business. We're a strategic AI and analytics partner to Fortune 500 companies, powering human decisions at scale by integrating AI, Engineering, and Design.
Requirements
- 9 to 15 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.
Benefits
- Paid Time Off
- 401k Matching
