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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.
Responsibilities will include but not limited too:
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.
An ideal candidate should demonstrate:
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
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
Bachelor's degree in computer science, computer engineering, or any related any STEM related discipline with over 4 years of industry experience or a master's in the same field with 3 years of industry experience.
3 years of backend engineering experience, with a major emphasis on data engineering tasks, including but not limited to advanced database operations, encompassing both SQL (like PostgreSQL, MySQL) and NoSQL systems.
Preferred Qualifications:
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.
Benefits:
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: https://www.intel.com/content/www/us/en/jobs/benefits.html
Annual Salary Range for jobs which could be performed in
US, California:$119,130.00-$178,690.00S al aryrangedependent on a number of factors including location and experience.
Work Model for this Role
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.Full Time
$142k-175k (estimate)
04/25/2024
05/10/2024
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.