Job Description

The Data Engineer will serve as a technical expert in the fields of design and develop AI data pipelines to manage both large unstructured and structured datasets, with a particular focus on Gen AI RAG/ Agent solutions.
Your Role
Key responsibilities in your new role

• Willing to guide and supervise a group of employees to achieve specific goals assigned under projects and fostering a positive and collaborative work environment
• Working closely with data scientists and domain experts to design and develop AI data pipelines using agile development process.
• Designing and implementing generative AI applications, using AWS Bedrock's API to access and integrate foundation models, configuring Prompt Flows and Agents, building data pipelines for model training, and ensuring security and privacy with Bedrock features like Guardrails
• Developing pipelines for ingesting and processing large unstructured and structured datasets from a variety of sources, ensure efficient and effective data processing.
• Development of BIA solution using defined framework for Data Modeling; Data Profiling; Data Extraction, Transformation & Loading
• Design & review Functional & Technical Design specifications in sync with overall solution platforms and architecture
• Design and provide data/information in form of reports, dashboards, score-cards and data story telling using Visualization Tools such as Business Objects & Tableau.
• Supporting the operation of the data pipelines involves troubleshooting and bug fixing, as well as implementing change requests to ensure that the data pipelines continue to meet user requirements.

Your Profile
Qualifications and skills to help you succeed

• Masters or Bachelors Degree in Computer Science/Mathematics/Statistics or equivalent.
• Minimum of 5 years of relevant work experience in data engineering, including in-depth technical knowledge of databases, BI tools, SQL,OLAP, ETL
• Extensive experience in AWS Bedrock platform
• Extensive hands-on experience in conceptualizing, designing, and implementing data pipelines.
• Proficiency in handling unstructured data formats (e.g., PPT, PDF, Docx), databases (RDMS, NoSQL such as Elasticsearch, MongoDB, Neo4j, CEPH) and familiarity with big data platforms (HDFS, Spark, Impala).
• Front-end Reporting & Dashboard and Data Exploration tools -Tableau
• Strong background in Software Engineering & Development cycles (CI/CD) with proficiency in scripting languages, particularly Python.
• Good understanding and experience with Kubernetes / Openshift Platform.
• Good understanding of data management, data governance, and data security practices.
• Highly motivated, structured and methodical with high degree of self-initiative
• Team player with good cross-cultural skills to work in international team
• Customer and Result orientated

Contact:
Pooja.AnandaChowta@infineon.com
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Skills Required