We are looking for Data Engineer with a robust backend orientation to be an integral part of Data Governance team. Candidates should possess an in-depth understanding of Python, advanced SQL query optimization, and data warehouse solutions.
� Architect, develop, and maintain scalable and dependable data pipelines.
� Manage data entries, developing tools to automate process with built-in quality checks
� Guarantee data integrity through meticulous validation processes.
� Intensively optimize complex SQL queries for faster data retrieval and analysis.
� Implement advanced SQL schema operations and manage their maintenance.
� Collaborate with backend developers to design and integrate data-driven APIs.
� Construct data processing flows utilizing state-of-the-art tools and methodologies.
� Lead initiatives to evaluate and adapt to new data engineering tools and platforms.
� Profound knowledge of data structures, algorithms, and software design principles.
� Mastery in advanced SQL techniques, including intricate query optimization.
� Hands-on experience with data warehouses.
� Proficiency in creating and managing data extraction, transformation, and loading (ETL) processes.
� Skillful in Python for API development and data tasks. Experience with data analysis libraries, e.g., pandas and numpy, is a significant advantage.
� Bachelor's degree in Computer Science, Computer Engineering, or related discipline with over 4+ years of industry experience. Or a master's in the same field with 3+ years of industry experience
� At least 3 years of backend engineering experience, with a major emphasis on data engineering tasks.
� Strong background in advanced database operations, encompassing both SQL (like PostgreSQL, MySQL) and NoSQL systems.
� Exceptional communication skills, capable of elucidating intricate technical details to diverse stakeholders.
� Robust problem-solving abilities, analytical mindset, and keen attention to detail.
� Collaborative team player ethos with an innate desire to learn and share insights.
� Ability to proficiently manage multiple tasks and commit to stringent deadlines.
Inside this Business Group
Intel Foundry Services (IFS) is an independent foundry business that is established to meet our customers' unique product needs. With the first "Open System Foundry" model in the world, our combined offerings of wafer fabrication, advanced process, and packaging technology, chiplet, software, robust ecosystem, and assembly and test capabilities help our customers build their innovative silicon designs and deliver full end-to-end customizable products from Intel's secure, resilient and sustainable source of supply.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel’s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel, to apply directly at https://jobs.intel.com/ and not fall prey to unscrupulous elements.
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.