Senior Data Engineer

Job Description: Senior Data Engineer

Location

:  Kochi

Experience

:  3-5 Years

Team

:  Data Engineering

Department

:  Engineering

About Entri

Entri is a leading vernacular EdTech platform helping millions of learners acquire skills and secure meaningful jobs. Our engineering vision stands on three core pillars - 
Stability at Scale

,
Innovation at the Bleeding Edge

, and
Lifelong Learning

. As a part of our Data Engineering team, you will help build the foundation that powers all our data-driven decision-making across product, business, and operations.

Role Overview

We are seeking an experienced
Data Engineer

with 3–5 years of hands-on experience in the
modern data stack

to join our Data Engineering team. This role is central to designing, building, and maintaining scalable, reliable, and high-quality data infrastructure at Entri.

You will work closely with stakeholders across
Product, Design, Finance, Legal, and Business

teams to ensure that data flows seamlessly across systems and that every team has access to accurate, timely, and actionable insights. Since we do not yet have a dedicated data science team, this role requires a strong sense of ownership and the ability to design systems that directly support analytical and strategic needs.

Key Responsibilities

• Build and Maintain Data Pipelines:
• Design, develop, and manage robust ETL/ELT pipelines using tools like
  Airbyte

,
dbt

, and
Airflow

to collect, clean, and transform data from multiple systems.
- Database Engineering:
- Work extensively with
PostgreSQL

, ensuring efficient schema design, performance tuning, and data modeling that support analytical workloads.
- Data Warehousing & Lakehouse:
- Design and manage scalable data models for
Snowflake

,
BigQuery

, or other modern data warehousing solutions.
- Data Quality & Governance:
- Implement validation, testing, and monitoring systems to ensure data accuracy, lineage, and reliability across the platform.
- Cross-Functional Collaboration:
- Work closely with
Product Managers

,
Project Managers

,
Designers

,
Finance

,
Legal

, and
Business teams

to understand their data requirements and deliver solutions that support key decisions.
- Process Automation:
- Identify and automate manual data collection and reporting processes to improve operational efficiency.
- Modernization & Best Practices:
- Contribute to the modernization of Entri's data platform by evaluating and integrating industry best practices, tools, and architectural improvements.

Required Skills & Qualifications

• Experience:

3–5 years in Data Engineering or similar roles in fast-paced, data-intensive environments.
- Programming:

Strong proficiency in
Python

and
SQL

.
- Databases:

Experience with
PostgreSQL

(query optimization, schema design, and performance tuning).
- Data Stack:

Hands-on experience with
Airbyte

,
dbt

, and
Airflow

(or similar tools).
- Data Platforms:

Exposure to
Snowflake

or
BigQuery

, with understanding of cloud-based data architectures.
- Data Modeling:

Solid understanding of
data warehousing

,
data lakes

, and
data lakehouse

concepts.
- Version Control & CI/CD:

Familiarity with
Git

and modern DevOps practices for data workflows.
- Data Quality & Governance:

Experience implementing or using frameworks for
data validation

and
observability

.
- Communication & Collaboration:

Strong ability to translate technical concepts into business understanding and collaborate with non-engineering stakeholders.

Good to Have

• Experience with
  data observability tools

like Great Expectations, Soda, or Monte Carlo.
- Exposure to
real-time or streaming data

(Kafka, Pub/Sub, etc.).
- Familiarity with
data security, compliance, and governance

principles.
- Interest in
building foundations for future data science and analytics initiatives

.

What We Offer

• A high-impact role shaping the data foundation for one of India's fastest-growing EdTech companies.
• A collaborative environment with close partnerships across product, design, finance, and business functions.
• Opportunity to influence the modernization of Entri's data stack and architecture.
• A culture that encourages experimentation, continuous learning, and professional growth.
• Competitive compensation, industry best work culture, and access to cutting-edge tools and technologies.