Job Description
We are hiring for Data engineering. Candidate should be good with Data Architectures, Data Pipelines, Data Warehouses, Data Lakes, Data Governance, Data Integrity and Data Security. Proficiency in SQL and a general-purpose programming language (e.g. Python). Should be good with design, develop, and optimize scalable data pipelines and architectures to process large and complex datasets, ensuring robustness and efficiency.
Your Role
Key responsibilities in your new role :
• Design, develop, and optimize scalable data pipelines and architectures to process large and complex datasets, ensuring robustness and efficiency.
• Integrate, cleanse, and combine data from multiple sources to deliver accurate, high quality datasets, with a focus on performance, reliability and security.
• Troubleshoot data pipeline issues and implement process improvements.
• Collaborate with analysts, data scientists and subject matter experts to meet requirements for AI and non-AI related analytics projects.
Your Profile
Qualifications and skills to help you succeed:
• Bachelor's degree in computer science or related field of studies, Master's degree is a plus
• 3-5 years of experience in data engineering or related role.
• Profound understanding of concepts in the following areas: Data Architectures, Data Pipelines, Data Warehouses, Data Lakes, Data Governance, Data Integrity and Data Security.
• Proven expertise on the latest toolsets and trends on data bases, integration and modeling (e.g. Hadoop, Spark, Impala, Denodo, OpenShift)
• Proficiency in SQL and a general-purpose programming language (e.g. Python)
• Experience with AI (e.g., using or implementing AI agents) and developing or integrating APIs to interact with LLM applications is a plus.
• Strong problem-solving, analytical, and attention-to-detail skills.
• Ability to work independently and communicate effectively with cross-functional teams.
Contact:
#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. Learn more about our various contact channels.
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.
Your Role
Key responsibilities in your new role :
• Design, develop, and optimize scalable data pipelines and architectures to process large and complex datasets, ensuring robustness and efficiency.
• Integrate, cleanse, and combine data from multiple sources to deliver accurate, high quality datasets, with a focus on performance, reliability and security.
• Troubleshoot data pipeline issues and implement process improvements.
• Collaborate with analysts, data scientists and subject matter experts to meet requirements for AI and non-AI related analytics projects.
Your Profile
Qualifications and skills to help you succeed:
• Bachelor's degree in computer science or related field of studies, Master's degree is a plus
• 3-5 years of experience in data engineering or related role.
• Profound understanding of concepts in the following areas: Data Architectures, Data Pipelines, Data Warehouses, Data Lakes, Data Governance, Data Integrity and Data Security.
• Proven expertise on the latest toolsets and trends on data bases, integration and modeling (e.g. Hadoop, Spark, Impala, Denodo, OpenShift)
• Proficiency in SQL and a general-purpose programming language (e.g. Python)
• Experience with AI (e.g., using or implementing AI agents) and developing or integrating APIs to interact with LLM applications is a plus.
• Strong problem-solving, analytical, and attention-to-detail skills.
• Ability to work independently and communicate effectively with cross-functional teams.
Contact:
#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. Learn more about our various contact channels.
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.
💡 Quick Summary
Seeking a career-building opportunity? The Staff Specialist Advanced Analytics position is now open for candidates interested in the Operations Executive Jobs sector. This role in Ahmedabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Operations Executive Jobs is a plus.
