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Aws Architect
1 month ago
BTech degree in computer science, engineering or related field of study or 12+ years of related work experience
7+ years design & implementation experience with large scale data centric distributed applications
Professional experience architecting, operating cloud-based solutions with good understanding of core disciplines like compute, networking, storage, security, databases etc.
Good understanding of data engineering concepts like storage, governance, cataloging, data quality, data modeling etc.
Good understanding about various architecture patterns like data lake, data lake house, data mesh etc.
Good understanding of Data Warehousing concepts, hands-on experience working with tools like Hive, Redshift, Snowflake, Teradata etc.
Experience migrating or transforming legacy customer solutions to the cloud.
Experience working with services like AWS EMR, Glue, DMS, Kinesis, RDS, Redshift, Dynamo DB, Document DB, SNS, SQS, Lambda, EKS, Data Zone etc.
Thorough understanding of Big Data ecosystem technologies like Hadoop, Spark, Hive, HBase etc. and other competent tools and technologies
Understanding in designing analytical solutions leveraging AWS cognitive services like Textract, Comprehend, Rekognition etc. in combination with Sagemaker is good to have.
Experience working with modern development workflows, such as git, continuous integration/continuous deployment pipelines, static code analysis tooling, infrastructure-as-code, and more.
Experience with a programming or scripting language – Python/Java/Scala
AWS Professional/Specialty certification or relevant cloud expertise
Roles & Responsibilities
Drive innovation within Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries.
Capable of leading a technology team, inculcating innovative mindset and enable fast paced deliveries.
Able to adapt to new technologies, learn quickly, and manage high ambiguity.
Ability to work with business stakeholders, attend/drive various architectural, design and status calls with multiple stakeholders.
Exhibit good presentation skills with a high degree of comfort speaking with executives, IT Management, and developers.
Drive technology/software sales or pre-sales consulting discussions
Ensure end-to-end ownership of all tasks being aligned.
Ensure high quality software development with complete documentation and traceability.
Fulfil organizational responsibilities (sharing knowledge & experience with other teams / groups)
Conduct technical training(s)/session(s), write whitepapers/ case studies / blogs etc.
Mandatory Skills
AWS, Big Data, Spark, Technical Architecture