Data Engineer - Finance Data and Analytics

1 Month ago • 3-6 Years

Job Summary

Job Description

This role is for a Cloud Analytics Data Engineer within the IT Corporate Data and Insights group, focusing on financial data and analytics. The engineer will design, develop, and maintain data pipelines and architecture for Enterprise Cloud Analytics solutions on platforms like Azure, Snowflake, and SAP Analytics Cloud (SAC). Responsibilities include contributing to business success, operational excellence, and enabling data-driven decisions through near real-time insights. The engineer will work with financial data domains and collaborate with stakeholders. They will be expected to work in a hybrid work model, splitting time between on-site and off-site work.
Must have:
  • Bachelor's or Master's in Data Science or related field.
  • 3-6 years of experience in data engineering.
  • Strong proficiency in SQL, Python.
  • Hands-on experience with cloud platforms like Azure, Databricks, Snowflake.
  • Familiarity with data warehousing, data lakes, and ETL/ELT architectures.
Good to have:
  • Technical knowledge of SAP ECC, BW, S/4HANA, HANA, and SAP Analytics Cloud.
  • Experience in BI/Enterprise Reporting development using tools such as Power BI.
  • Experience in AI/ML Ops.
  • Strong enterprise data acumen across key domains such as Finance and Supply Chain.
  • Familiarity with Agile methodologies.

Job Details

Job Details:

Job Description: 

We are seeking a passionate and highly skilled Cloud Analytics Data Engineer to join the IT Corporate Data and Insights group, under the Finance Data and Analytics Agile Persistent Team (APT). This role plays a critical part in designing, developing, and maintaining robust data pipelines and architecture for Enterprise Cloud Analytics solutions on modern cloud platforms such as Azure, Snowflake, and SAP Analytics Cloud (SAC). With a primary focus on financial data domains, this role is essential in helping to Keep Intel Legal while enabling business stakeholders to make data-driven decisions through near real-time insights. You will contribute directly to driving business success, operational excellence, and accelerating Intel's transformation journey into the New Intel.

Qualifications:

The ideal candidate needs to be:

  • Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
  • 3-6 years of experience in data engineering, preferably in large-scale enterprise environments.
  • Strong proficiency in SQL, Python is mandatory.
  • Hands-on experience with cloud platforms and services like Azure, Databricks, Snowflake, etc.
  • Familiarity with data warehousing, data lakes, and ETL/ELT architectures.
  • Technical knowledge of SAP ECC, BW, S/4HANA, HANA, and SAP Analytics Cloud is highly beneficial.
  • Experience in BI/Enterprise Reporting development using tools such as Power BI, BOBJ, WEBI, etc.
  • Experience in AI/ML Ops is an added advantage.
  • Strong enterprise data acumen across key domains such as Finance and Supply Chain is an added advantage.
  • Familiarity with Agile methodologies and practices (e.g., sprint planning, stand-ups, retrospectives).


Preferred Attributes:

  • Analytical and Detail-Oriented: Excellent problem-solving skills with a keen eye for accuracy and data integrity.
  • Collaborative Communicator: Strong ability to work cross-functionally, bridging gaps between technical and business teams through clear communication.
  • Data-Driven Mindset: Passionate about transforming data into actionable insights to support strategic decisions.
  • Resilient and Adaptable: Thrives in fast-paced, high-pressure environments, adept at multitasking and prioritizing effectively.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Malaysia)

Primary Location: 

Malaysia, Penang

Additional Locations:

Business group:

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

Posting Statement:

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.

Position of Trust

N/A

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. * Job posting details (such as work model, location or time type) are subject to change.

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