Data Engineer

We’re partnering with a leading organization to hire a Data & AI Engineer to work on modern data platforms and next-generation AI solutions. This role is ideal for someone who enjoys building scalable systems and working with AWS and Generative AI technologies. Responsibilities Build and optimize data pipelines, data lakes, and data warehouses Develop and deploy machine learning and Generative AI solutions Collaborate with architects, engineers, and stakeholders on data-driven initiatives Create scalable, reusable data solutions for ongoing and future projects Stay current with AWS services and emerging GenAI trends Required Skills 3+ years of experience in Data Engineering or ML/AI (with exposure to both) Strong SQL skills and experience working with complex datasets Programming experience in Python, Java, or Scala Hands-on experience with AWS, Azure, or GCP (AWS preferred) Familiarity with Git-based workflows Understanding of data modeling and governance concepts Cloud or data certifications are a plus (or willingness to obtain) Preferred Skills Experience with Generative AI / LLMs (RAG, LangChain, etc.) Tools like Airflow, dbt, Glue, or Fivetran ML frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with Docker, Kubernetes, Terraform Streaming tools (Kafka, Spark, Kinesis) Data warehouses (Snowflake, Redshift, BigQuery) Visualization tools (Tableau, Power BI, QuickSight) Strong communication and client-facing skills #J-18808-Ljbffr Forbes Technical Consulting