Data Engineering II

Reposted 21 Days Ago
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Chennai, Tamil Nadu, IND
Hybrid
Mid level
Edtech
The Role
Build and maintain scalable ETL/ELT pipelines, design dimensional data models and data marts, ensure data quality and governance, optimize SQL and pipelines for performance/cost, and collaborate with stakeholders to deliver curated datasets for reporting, analytics, and AI initiatives.
Summary Generated by Built In

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.

Skills Required

  • 2-4 years in Data Engineering with ETL/ELT and pipeline design experience
  • Advanced SQL
  • Strong grasp of data warehousing, dimensional modeling, star/snowflake schemas
  • Hands-on GCP experience (BigQuery, Dataflow, Cloud Storage, Composer, Pub/Sub)
  • Proficiency in Python for data processing and automation
  • 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
  • Experience with BI/reporting tools like Looker, Power BI, or Tableau
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The Company
HQ: London
29,811 Employees
Year Founded: 1871

What We Do

We are the world’s learning company with more than 22,500 employees operating in 70 countries. We provide content, assessment and digital services to learners, educational institutions, employers, governments and other partners globally. We are committed to helping equip learners with the skills they need to enhance their employability prospects and to succeed in the changing world of work. We believe that wherever learning flourishes so do people.

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