Generative AI & LLM Integration: Explore and integrate Generative AI and LLMs into relevant solutions.
Cloud Data Architecture: Lead the design and implementation of end-to-end data pipelines and architectures on various cloud platforms, with a focus on AWS and GCP.
Data Engineering: Develop and maintain complex ETL/ELT processes using scripting languages like Python and SQL.
Collaboration: Work with cross-functional teams to understand business needs and deliver effective solutions. You'll also mentor junior engineers and help our team grow.
What We're Looking For
5+ years of experience in a data, cloud, or software engineering role with a significant focus on data and AI solutions.
Strong programming skills in Python, Java, Scala, or Go.
Expertise in SQL and experience with various relational and NoSQL databases.
Hands-on experience with big data technologies like Spark or Hadoop.
Proven exposure to generative AI and large language models (LLMs).
Experience with cloud-native data and analytics services (e.g., S3, Glue, BigQuery, Cloud Storage).
Bonus Points
Relevant cloud certifications (e.g., AWS, GCP, or Azure).
Experience with real-time data processing and streaming technologies.
Experience with containerization technologies (Docker, Kubernetes) and Infrastructure as Code (e.g., Terraform).
Experience with knowledge graphs, vector databases, or semantic enrichment strategies.