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 up-to-date 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 and Responsibilities
Drive innovation within Data Engineering domain by designing reusable and reliable accelerators, blueprints, and libraries.
Capable of leading a technology team, inculcating creative mindset and enable fast paced deliveries.
Able to adapt to recent technologies, learn quickly, and manage high ambiguity.
Ability to work with business sta

📌 Technical Architect Aws Indore
🏢 Impetus Technologies
📍 Indore