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Data Engineering II at Pearson PlcWestminster

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Data Warehousing, Dimensional Modeling, Google Cloud Platform, Etl/Elt, Python, BigQuery, Dataflow, Cloud Storage, Composer, Pub/Sub, Looker, Power BI, Tableau, Databricks, Lakehouse Architecture

Industry

Education

Description

Job Title: Data Engineer II Description: In this role, you'll be building and maintaining scalable data pipelines and analytics solutions. Experience: 2–4 years Location: Chennai, India We're looking for a Data Engineer with 2–4 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). You'll 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 * 2–4 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.

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Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines and dimensional data models to support analytics and reporting. Collaborate with stakeholders and engineering teams to deliver reliable data solutions for AI-driven initiatives.