Data Engineer

Job title: Data Engineer

About the Role The Data Engineer will join ExxonMobil's IT organization to build robust data products and scalable data models, enabling data-driven decisions across the business. You will work in an Agile team to transform raw data into trusted datasets and support data insights.

What You'll Do

• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.

What We're Looking For

• Bachelor's degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0–5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).

Nice to Have

• Snowflake certifications (SnowPro Core, SnowPro Advanced – Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehousing technologies (e.g., Snowflake, HANA).
• Experience with Python programming.
• Experience with version control and CI/CD (Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience with Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran.
• Programming skills in Python or Java.

Compensation & Benefits

• Premium medical health plan & life insurance.
• Full coverage OPD and limited out-of-pocket for IPD.
• Dental coverage and annual medical check-up.
• Provident fund contribution and employee savings plan.
• Housing loan subsidy and workplace flexibility.
• 10–20 days annual vacation, 5 days personal business leave, and special occasion leave.