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, S3Design 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 solvingRequirements :13+ years experience in the industry.Bachelor s Degree in computer science, Information Technology or other relevant fieldsExperience and knowledge of Big Data Architectures, on cloud and on premise Proficiency in AWS Collection Services : Kinesis, Kafka, Database Migration ServiceProficiency in AWS main Storage Service : S3, EBS, EFSProficiency in AWS main Compute Service : EC2, Lambda, ECS, EKSProven 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 AWSProficient in AWS Redshift, S3, Glue, Athena, DynamoDBAWS Certification : AWS Certified Solutions Architect and / or AWS Certified Data AnalyticsWorking experience with Agile Methodology and KanbanGood 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 technologiesExperience partnering with executive stakeholders as a trusted advisor as well as enabling technical implementersWorking experience in migrating workloads from on premise to cloud environmentExperience in monitoring distributed infrastructure, using AWS tools or open-source ones such as CloudWatch, Prometheus, and the ELK stack would be big advantage.Skills Required
Aws, Dynamodb, Rds, Python, Scala