Data Engineer

Saur Energy International; Bengaluru; Hybrid; INR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Flexible hybrid work

Diverse and collaborative culture

Learning & development

Competitive compensation

Job summary

Saur Energy International is seeking an experienced data engineer to design, build, and maintain scalable data products and infrastructure on AWS. You will work across silos to ensure robust data pipelines and reliable data access.

You will collaborate with Data Scientists, ML Engineers, and Product teams to translate business needs into scalable data solutions and contribute to design reviews and cross-team forums.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering, or related field.
• 3+ years of hands-on data experience at scale.
• Strong Python and SQL skills.
• Experience building and maintaining data pipelines.
• Experience with CI/CD pipelines.
• Solid SQL/NoSQL database knowledge and optimization.
• Experience with Apache Spark (PySpark).
• Clear communication to capture technical requirements.

Responsibilities

• Design, build, and maintain scalable data products on AWS.
• Develop robust data pipelines using AWS-native services.
• Support automation, deployment, and operation of AI/ML workflows.
• Define data ingestion strategies, formats, schemas, metadata integrations.
• Collaborate with Data Scientists, ML Engineers, and Product teams.
• Contribute to cross-team design reviews and technical discussions.

Skills

Python

SQL

Data pipelines

CI/CD pipelines

SQL NoSQL

Apache Spark PySpark

Communication skills

AWS

Infrastructure as Code

Education

Bachelor’s/Master’s in CS/Engineering

Tools

AWS EMR

Snowflake

AWS Glue

Terraform

CDK

Job description

You’ll make a difference by:

• Designing, building, and maintainingscalable data products and data infrastructure on AWS
• Developingrobust data pipelinesusing AWS-native services and integrating data across multiple application silos
• Supporting theautomation, deployment, and operation of AI/ML workflows
• Definingdata ingestion strategies, data formats and schemas, metadata/catalog integrations, federated data access, and end-to-end data product creation
• Enablingadvanced analytics, AI/ML, and data-driven use casesby designing efficient data-access patterns and tooling (including support for LLM context engineering)
• Collaborating closely withData Scientists, ML Engineers, and Product teamsto translate business needs into scalable data solutions
• Actively participating in design discussions, technical reviews, and cross-team collaboration forums.

You’ll win us over by:

• Holding aBachelor’s or Master’s degreein Computer Science, Engineering, or a related discipline
• Having 3+ years of hands-on experienceworking with data at scale
• Strong programming skills inPython and SQL
• Strong understanding of databases (SQL and NoSQL), complex SQL queries and their performance across large, distributed databases.
• Experience in building and maintaining data pipelines
• Proven experience in building and maintainingCI/CD pipelines
• Solid understanding ofSQL and NoSQL databases, complex SQL queries, and performance optimization across large, distributed systems
• Practical experience withApache Spark (preferably PySpark)
• Clear communication skills and the ability to capture and define technical requirements effectively.

You’ll stand out if you have:

• Experience withTypeScript and/or JavaScript
• Working knowledge of databases such asPostgreSQL, DynamoDB, or similar technologies
• Strong collaboration experience withData Scientists and Machine Learning Engineers
• Interest or hands-on exposure toMLOps and the AI product lifecycle
• Domain experience (or strong willingness to learn) inIoT, time-series data, automation systems, digital twins, or smart buildings technologies.
• Experience with Infrastructure as Code (ideally CDK, CloudFormation, Terraform) and cloud-native technologies in AWS (e.g. Lambda, Athena, Glue, SageMaker, S3, etc.)
• Experience with tools like EMR, Snowflake, AWS Glue

We’ll support you with:

• Flexible andhybrid working opportunities
• Adiverse, inclusive, and collaborative culture
• Continuouslearning and development opportunities
• Anattractive and competitive compensation package.