Onsite Data Engineer

Posted 10 hours ago

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About the role

  • Data/AI Engineer supporting innovations in corporate travel with AWS technologies at HRS Group. Collaborating with data teams to develop AI solutions and maintain data pipelines.

Responsibilities

  • Develop an innovative data landscape for driving the business with analytics solutions up to real-time with state-of-the- art Data, AI & Analytics technologies on AWS and RDBMS.
  • Develop and implement AI large language models(LLMs) using concepts like deep learning techniques, natural language processing, computer vision, machine learning etc.
  • Analyze and preprocess large datasets to ensure high-quality input for LLM models thereby optimizing the AI solution for performance and scalability.
  • Design & Build pipelines with Continuous Delivery practices, to collect, normalize, index, integrate and publish data coming from multiple sources to our AWS-based data platform and in-memory data warehouse Exasol / Oracle.
  • Orchestrate our cloud (AWS) resources, automatic scheduling (Airflow), pipelining (Spark, DBT), monitoring and performance reporting.
  • Build data platform tooling and capabilities that enable data analysts, scientists and engineers build and operate analytic workloads through self-service.
  • Stay up-to-date with the latest advancements in AI and machine learning technologies.

Requirements

  • Understanding what it takes to design, build and maintain successful Data/AI platforms, services and products.
  • Hands-on experience in data extraction and integration along with environment & deployment automation.
  • Experience in cloud engineering services using private and public cloud resources.
  • Expertise in hosting large language models in AWS and training with data for answering business related questions.
  • Expertise in Data Warehousing, ETL, Analytics, and reporting.
  • Skill preferred SQL, Python, AWS, Spark, Microstrategy, Oracle/Exasol and Superset.
  • Excellent communication skills to collaborate with business stakeholders, technical engineers and management.
  • Fluency in English is a must.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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