Data Engineer - AI - Bedrock

Qualifications
Candidates should possess strong skills in Data Engineering and building end-to-end data pipelines.
Candidates should possess skills in Data Modeling and designing scalable, well-structured data architectures.
Candidates should possess skills in Extract Transform Load (ETL) development and integration of diverse data sources.
Candidates should possess skills in Data Warehousing, including design, implementation, and performance optimization.
Candidates should possess skills in Data Analytics, including transforming data into actionable insights for AI and business stakeholders.
Experience with cloud platforms and modern data tools (e.g., AWS, Azure, GCP, distributed computing frameworks) is beneficial.
Knowledge of AI/ML workflows and familiarity with Bedrock or similar AI platforms is beneficial.
Proficiency in SQL and at least one programming language commonly used in data engineering (such as Python, Java, or Scala) is preferred.
A bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience, is preferred.
Strong problem-solving skills, attention to detail, and the ability to collaborate effectively in an on-site, cross-functional environment are expected.
Arun@sdvstech.com

Work arrangement
Yes