Data Engineer
Texas Instruments
Date: 3 weeks ago
City: Malacca
Contract type: Full time
Job Description
Change the world. Love your job.
We are seeking a data professional to use data to solve business problems and build the infrastructure needed to improve processes. In this role, you will streamline data science workflows to enhance our products, lifecycle operations, and retention models. You will collaborate closely with data science and business intelligence teams to design data models and pipelines for research, reporting, and machine learning. Additionally, you will champion best practices and promote continuous learning across the organization.
Responsibilities Include
A Data Engineer is responsible for designing, building, and maintaining large-scale data systems, architectures, and pipelines. Key responsibilities include:
Minimum Requirements:
Why TI?
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
About The Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
Change the world. Love your job.
We are seeking a data professional to use data to solve business problems and build the infrastructure needed to improve processes. In this role, you will streamline data science workflows to enhance our products, lifecycle operations, and retention models. You will collaborate closely with data science and business intelligence teams to design data models and pipelines for research, reporting, and machine learning. Additionally, you will champion best practices and promote continuous learning across the organization.
Responsibilities Include
A Data Engineer is responsible for designing, building, and maintaining large-scale data systems, architectures, and pipelines. Key responsibilities include:
- Data Architecture: Designing and implementing data warehouses, lakes, and pipelines to store and process large datasets.
- Data Ingestion: Developing data ingestion pipelines to collect data from various sources, such as APIs, files, and databases.
- Data Processing: Building data processing workflows using tools like Apache Beam, Spark, or Flink to transform, aggregate, and analyze data.
- Data Storage: Managing data storage solutions like relational databases, NoSQL databases, or cloud-based storage systems.
- Data Quality: Ensuring data quality, integrity, and security by implementing data validation, data cleansing, and data governance processes.
- Collation: Working with data scientists, analysts, and other stakeholders to understand data requirements and deliver data products.
- Troubleshooting: Identifying and resolving data pipeline issues, optimizing data processing workflows, and ensuring data system reliability.
Minimum Requirements:
- Bachelor's degree: In Computer Science, Information Technology, Industrial Engineering, or a related field.
- Academic achievement more than 3.3 CGPA
- Programming languages: Java, Python, Scala
- Data processing frameworks: Apache Spark, Apache Beam, Apache Flink
- Data storage solutions: Relational databases, NoSQL databases, cloud-based storage systems
- Data ingestion tools: Apache Kafka, Apache NiFi, AWS Kinesis
- Communication: Collaborating with stakeholders to understand data requirements
- Problem-solving: Identifying and resolving data pipeline issues
- Time management: Prioritizing tasks and managing multiple projects
- Continuous learning: Staying up-to-date with new technologies and trends in data engineering.
Why TI?
- Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
- We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
- Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
About The Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.
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