Data Engineer

Overview

DATA ENGINEER

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a hands-on Data Engineer to design, build, and maintain scalable data pipelines and data platforms. You will work on ingesting, transforming, and serving data reliably for analytics, reporting, and downstream applications, collaborating closely with backend engineers, analysts, and data scientists. This role is ideal for someone who enjoys building robust data systems, working with large datasets, and writing clean, production-grade code.

Key Responsibilities

Data Pipelines & Development

• Build and maintain reliable ETL/ELT pipelines for batch and near-real-time data processing.

• Ingest data from multiple sources including databases, APIs, event streams, and files.

• Transform raw data into clean, analytics-ready datasets.

• Optimize pipelines for performance, scalability, and cost.

Data Storage & Modeling

• Design and manage data models in data warehouses or data lakes.

• Work with SQL and NoSQL databases and modern data warehouses.

• Implement partitioning, indexing, and efficient query patterns.

• Maintain documentation for schemas, pipelines, and transformations.

Cloud & Tooling

• Build data solutions on cloud platforms, with a preference for AWS.

• Use services such as S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis, or equivalents.

• Work with orchestration tools like Airflow or similar schedulers.

• Use version control, CI/CD, and Infrastructure-as-Code where applicable.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting for pipelines.

• Troubleshoot data issues and ensure pipeline reliability.

• Collaborate with stakeholders to resolve data discrepancies.

Collaboration

• Partner with analytics, product, and engineering teams to understand data needs.

• Support analysts and data scientists with clean, accessible datasets.

• Participate in code reviews and contribute to data engineering best practices.

What we're looking for:

• 4-6+ years of experience as a Data Engineer / Data Developer.

• Strong programming skills in Python.

• Excellent knowledge of SQL and relational data modeling.

• Experience building ETL/ELT pipelines in production.

• Hands-on experience with cloud-based data platforms, preferably AWS.

• Understanding of data warehousing concepts and best practices.

Nice to have:

• Experience with Spark, Kafka, dbt, or Flink.

• Familiarity with orchestration tools like Airflow.

• Experience with streaming or event-driven data pipelines.

• Exposure to data quality or observability tools.

• Experience working with large-scale or high-volume datasets.

Additional Information

• Office Location: Chennai (Velachery).

• Work Model: Work from Office - because great stories are built in person!

• Online Presence: https://amura.ai

• For better insights: https://drive.google.com/file/d/11UHgXqYc7XSJ3IAdFyEm-EurgOzqsmzA/view?usp=sharing