Senior Data Engineer

Salary

₹20 - 25 LPA

Min Experience

3 years

Location

Bengaluru

JobType

full-time

About the role

Job Title: Senior Data Engineer (Work From Office – Bengaluru)

Location: Bengaluru, India

Department: Engineering

Reports to: Director of Engineering

Industry: Climate Tech

Company: Varaha Climate

About Varaha Climate

Varaha Climate is a leading Climate Tech startup focused on data-driven carbon markets, regenerative agriculture, and sustainable land use. Our mission is to leverage technology, geospatial analytics, and AI to generate high-quality carbon credits and drive measurable climate impact at scale.

 

We are looking for a Data Engineer with 3+ years of experience to design, build, and scale our data warehousing and reporting infrastructure from scratch. This is a critical role where you will define the 0→1 journey of our data ecosystem, working with large-scale datasets and cloud-based solutions to deliver actionable insights.

 

This role is Work from Office in Bengaluru, India.

Key Responsibilities

1. Own & Build the Data Warehouse (0→1)

  • Architect, develop, and optimizescalable data warehouse from the ground up.
  • Design and implement ETL/ELT pipelines to integrate, transform, and store data efficiently.
  • Ensure data integrity, security, and governance across all pipelines and storage layers.
  • Optimize data storage, partitioning, and indexing strategies for performance and scalability.

2. Develop & Maintain Reporting Infrastructure

  • Design and automate dashboards/reports using Apache Superset (or other BI tools like Tableau, Looker, Power BI).
  • Work with stakeholders to define KPIs and reporting metrics to support decision-making.
  • Ensure real-time and batch reporting needs are met with high performance and reliability.

3. Optimize Data for Performance & Scale

  • Write and optimize complex SQL queries for analytical and reporting workloads.
  • Monitor, debug, and resolve data issues proactively.
  • Develop data validation and monitoring strategies to maintain accuracy.

4. Drive Data Strategy & Collaboration

  • Work closely with engineering, product, and business teams to understand data needs and deliver scalable solutions.
  • Define and enforce data best practices across the organization.
  • Collaborate with ML and geospatial teams to support data-driven climate models.

5. Leverage AWS & Modern Data Stack

  • Design and implement solutions using AWS data services (RDS, S3, Redshift, Glue, Athena) or equivalent cloud technologies.
  • Evaluate and adopt best-in-class data engineering tools for efficiency and scalability.
  • Stay ahead of industry trends and incorporate new technologies when needed.

Required Qualifications

  • 4+ years of experience in Data Engineering or related fields.
  • Proven experience in building and scaling data warehouses and reporting layers from scratch.
  • Expertise in SQL and query optimization for analytical workloads.
  • Strong experience with BI/reporting tools like Apache Superset, Tableau, Looker, or Power BI.
  • Hands-on experience with AWS data stack (RDS, S3, Athena, Redshift, Glue) or equivalent cloud technologies.
  • Deep understanding of ETL/ELT processes, data modeling, and data pipeline automation.
  • Proactive problem solver who takes ownership of data challenges.
  • Strong communication and team player mindset, able to collaborate across teams.

Nice-to-Have Skills

  • Experience with Python or Spark for data transformation.
  • Knowledge of geospatial data processing (useful for climate models but not mandatory).
  • Familiarity with workflow orchestration tools like Apache Airflow.
  • Prior experience in Climate Tech, carbon markets, or sustainability analytics.

Why Join Varaha Climate?

  • Lead and own the data engineering roadmap in a high-impact startup.
  • Work on cutting-edge cloud, geospatial, and analytics technologies.
  • Be part of a mission-driven company solving climate challenges at scale.
  • Competitive salary, fast-paced growth opportunities, and a collaborative work environment.

 

Skills

Data Engineering
PostgreSQL
Business Intelligence
Data Warehousing
AWS