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Lead Architect AWS

7-10 Years
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Job Description

  • 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.

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Open to candidates from:
Indian

About Company

Neal Analytics was a native ML/AI Microsoft Solution Partner. It operated as a privately owned corporation from 2011 to 2021, was acquired by Fractal late December 2021, and its operations were fully integrated into Fractal and it ceased to exist as a brand and company on April 1st 2023. Learn more about Fractal at https://fractal.ai Fractalis one of the most prominent providers of Artificial Intelligence to Fortune 500®companies. Fractal's vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the world's most admired companies. Fractal currently has over 4000 employees across 16 global locations, includingtheUnited States, UK,Ukraine,India,Singapore, andAustralia. Fractal has been recognized as 'Great Workplace' and 'India'sBest Workplaces for Women' in the top 100 (large) category by The Great Place to Work®Institute. It has also been featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research Inc.,

Job ID: 120656383

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