Data Engineering II
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Job Summary
Job Title: Data Engineer II
Description: In this role youll be building and maintaining scalable data pipelines and analytics solutions.
Experience:24 years Location:Chennai India
Were looking for a Data Engineer with 24 years of experience building and maintaining scalable data pipelines and analytics solutions. The ideal candidate has strong SQL solid data warehousing and dimensional modeling skills and hands-on experience with cloud platforms preferably Google Cloud Platform (GCP).
Youll work with business stakeholders analysts and engineering teams to build reliable data solutions that power reporting analytics and AI-driven initiatives.
Key Responsibilities
- Design build and maintain scalable ETL/ELT pipelines.
- Develop data models dimensional schemas and data marts for analytics and reporting.
- Ensure data quality consistency and governance across platforms.
- Optimize SQL queries and pipelines for performance and cost.
Partner with analytics teams to turn data requirements into technical solutions and curated datasets.
Required Skills
- 24 years in Data Engineering with strong ETL/ELT and pipeline design experience.
- Advanced SQL and a strong grasp of data warehousing dimensional modeling star/snowflake schemas and facts/dimensions/metrics.
- Hands-on GCP experience (BigQuery Dataflow Cloud Storage Composer Pub/Sub etc.).
Proficiency in Python for data processing and automation.
Preferred (Added Advantage)
- GCP Professional certification(s) and/or AI/ML certifications.
- Familiarity with lakehouse architectures Databricks or data governance tools.
- Looker/LookML semantic modeling and dashboard development.
- Understanding of BI/reporting concepts; experience with tools like Looker Power BI or Tableau.
Required Experience:
IC
About Company
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gen ... View more
