5 days ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Build scalable ELT pipelines and high-quality data models that power Coursera’s core data lake and business-critical applications. Lead enterprise data modeling strategies, set direction with technical and cross-functional stakeholders, and drive a culture of transparent, well-governed data systems. Deliver self-serve analytics products and improve data observability, quality, and monitoring. Partner with data scientists, engineers, and business stakeholders to govern high-fidelity data and connect KPIs to real business outcomes.

Location: India

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build scalable data models and high-quality ELT pipelines powering the core data lake using Airflow, dbt, and Databricks.
•Create self-serve analytics products from data consumption to discovery and enablement, tying outcomes to business impact.
•Lead enterprise data modeling strategies and drive a culture of transparent, well-governed data systems with industry standards.
•Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data.
•Develop tools and contribute to data platform frameworks, including AI-driven enhancements to improve data access and enablement.

Key Requirements

•8+ years of data/analytics engineering experience with expertise in data architecture, pipelines, and reporting.
•Strong relational database experience, DRY data modeling practices, and efficient SQL code generation.
•Experience with AWS and at least some of: Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub.
•Experience implementing enterprise data observability, quality, and monitoring frameworks/tools (e.g., dbt tests, Great Expectations, Datadog).
•Strong hands-on experience with BI tools for self-serve reporting (Looker or Sigma preferred) and the ability to communicate technical concepts clearly.

Experience:8+ years

Skills:CommunicationMentorshipCross-functional collaborationInnovation

Tech Stack:AirflowDbtDatabricksSigmaLookerTableauAWSDelta LakeRedshiftDatahubGreat ExpectationsDatadogClaudeGeminiCursorELTPIIPysparkSpark SQLDatabricks workflows

Company Brief

Coursera

Operates an online learning platform offering MOOCs, professional certificates, and degree programs in partnership with universities and organizations worldwide, enabling learners and professionals to acquire new skills and credentials online.

Industry: EdTech

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Mountain View, United States

Founded: 2012

Website LinkedIn

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Coursera

5 days ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: India

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build scalable data models and high-quality ELT pipelines powering the core data lake using Airflow, dbt, and Databricks.
•Create self-serve analytics products from data consumption to discovery and enablement, tying outcomes to business impact.
•Lead enterprise data modeling strategies and drive a culture of transparent, well-governed data systems with industry standards.
•Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data.
•Develop tools and contribute to data platform frameworks, including AI-driven enhancements to improve data access and enablement.

Key Requirements

•8+ years of data/analytics engineering experience with expertise in data architecture, pipelines, and reporting.
•Strong relational database experience, DRY data modeling practices, and efficient SQL code generation.
•Experience with AWS and at least some of: Databricks, Delta Lake, Airflow, dbt, Redshift, Datahub.
•Experience implementing enterprise data observability, quality, and monitoring frameworks/tools (e.g., dbt tests, Great Expectations, Datadog).
•Strong hands-on experience with BI tools for self-serve reporting (Looker or Sigma preferred) and the ability to communicate technical concepts clearly.

Experience:8+ years

Skills:CommunicationMentorshipCross-functional collaborationInnovation

Tech Stack:AirflowDbtDatabricksSigmaLookerTableauAWSDelta LakeRedshiftDatahubGreat ExpectationsDatadogClaudeGeminiCursorELTPIIPysparkSpark SQLDatabricks workflows

Company Brief

Coursera

Industry: EdTech

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Mountain View, United States

Founded: 2012

Website LinkedIn