Senior Specialist - Data Engineering at Infineon Technologies AG Australia

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Data Pipelines, Cloud Technologies, AWS, Data Processing, Software Engineering, Python, Kubernetes, Data Governance, Data Security, Tableau, Big Data, NoSQL, SQL, Agile Development, Team Collaboration

Industry

Semiconductor Manufacturing

Description

The Data Engineer will serve as a technical expert in the fields ofdesign and develop AI data pipelines to manage both large unstructuredand structured datasets, with a focus on building data pipelines for enterprise AI solutions Job Description In your new role you will: Working closely with data scientists and domain experts to design anddevelop AI data pipelines using agile development process. Developing pipelines for ingesting and processing large unstructuredand structured datasets from a variety of sources, with a specificemphasis on creating solutions for AI solutions to ensure efficient andeffective data processing. Work efficiently with structured and unstructured data sources. Work with cloud technologies such as AWS to design and implement scalable data architectures Supporting the operation of the data pipelines involves troubleshooting and bug fixing, as well as implementing change requeststo ensure that the data pipelines continue to meet user requirements. Your Profile You are best equipped for this task if you have: Masters or Bachelor’s Degree in Computer Science/Mathematics/Statistics or equivalent. Minimum of 3 years of relevant work experience in data engineering Extensive hands-on experience in conceptualizing, designing, andimplementing data pipelines. Proficiency in handling structured dataOracle unstructured data formats (e.g., PPT, PDF, Docx), databases(RDMS, Oracle/PL SQL, MySQL, NoSQL such as Elasticsearch, MongoDB,Neo4j, CEPH) and familiarity with big data platforms (HDFS, Spark,Impala). Experience in working with AWS technologies focussing on buildingscalable data pipelines. Strong background in Software Engineering & Development cycles(CI/CD) with proficiency in scripting languages, particularly Python. Good understanding and experience with Kubernetes / OpenshiftPlatform. Front-end Reporting & Dashboard and Data Exploration tools –Tableau Good understanding of data management, data governance, and datasecurity practices. Highly motivated, structured and methodical with high degree ofself-initiative Team player with good cross-cultural skills to work in internationalteam Customer and Result orientated #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.

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Responsibilities

The Data Engineer will design and develop AI data pipelines for managing large unstructured and structured datasets. This role involves collaborating with data scientists and domain experts to ensure efficient data processing for enterprise AI solutions.