Backend Developer - Rust

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• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred
• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

Job Description:

Summary

The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure. They must have experience with SQL and Python.

Roles & Responsibilities:

● Collaborate with product, business, and engineering stakeholders to understand key metrics, data needs, and reporting pain points.

● Design, build, and maintain clean, scalable, and reliable data models using DBT.

● Write performant SQL and Python code to transform raw data into structured marts and reporting layers.

● Create dashboards using Tableau or similar tools.

● Work closely with data platform engineers, architects, and analysts to ensure data pipelines are resilient, well-governed, and high quality.

● Define and maintain source-of-truth metrics and documentation in the analytics layer.

● Partner with product engineering teams to understand new features and ensure appropriate

instrumentation and event collection.

● Drive reporting outcomes by building dashboards or working with BI teams to ensure timely delivery of insights.

● Help scale our analytics engineering practice by contributing to internal tooling, frameworks, and best practices.

Who You Are:

Experience : 3 to 4 years of experience in analytics/data engineering, with strong hands-on expertise in DBT, SQL, Python and dashboarding tools.

● Experience working with modern data stacks (e.g., Snowflake, BigQuery, Redshift, Airflow).

● Strong data modeling skills (dimensional, star/snowflake schema, data vault, etc.).

● Excellent communication and stakeholder management skills.

● Ability to work independently and drive business outcomes through data.

● Exposure to product instrumentation and working with event-driven data is a plus.

● Prior experience in a fast-paced, product-led company is preferred.

JOB DESCRIPTION:

Location: Pune, Mumbai, Bangalore

Mode of Work : 3 days from Office

* Python : Strong expertise in data workflows and automation

* Pandas: For detailed data analysis and validation

* SQL: Querying and performing operations on Delta tables

* AWS Cloud: Compute and storage services

* OOPS concepts

Shortened version:

• 5+ years experience in Python with strong core concepts (OOP, data structures, exception handling, problem-solving)
• Experience with FastAPI (preferred) or Flask/Django
• Strong REST API development & authentication (JWT/OAuth)
• SQL (MySQL/PostgreSQL) & NoSQL (MongoDB/Firestore) experience
• Basic cloud knowledge (GCP or AWS)
• Git, code reviews, clean coding & performance optimization
• Good communication and teamwork skills

Responsibilities:

• Build and maintain scalable backend apps and REST APIs
• Work with databases, third-party integrations, and cloud deployments
• Write clean, testable, optimized code
• Debug, troubleshoot, and improve performance
• Collaborate with team on technical solutions

Good to have:

• GCP (BigQuery, Dataflow, Cloud Functions)
• Microservices, Redis/Kafka/RabbitMQ
• Docker, CI/CD
• Basic Pandas/Numpy for data handling

Perks & Benefits

• 5 Days Working
• Family Health Insurance
• Relaxation Area
• Affordable Lunch
• Free Snacks & Drinks
• Open Work Culture
• Competitive Salary & Benefits
• Festival Celebrations
• International Exposure Opportunities
• 20 Paid Leaves per Year
• Marriage Leave & Parental Leave Policy

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

• discussing clients’ requirements and proposed solutions with a senior developer (for developers at mid-skill level and below)
• writing and testing code
• collaborating with other developers
• using development tools (see below)

Development tools are used by software developers to write and test code, often as a team. Common development tools include:

• integrated development environments (eg Eclipse, IntelliJ): for writing and editing code
• source control management (eg Git, SVN, Mercurial): to enable teams to work together to manage changes to source code
• issue management systems (eg Jira): for managing a list of issues or improvements
• test driven development: for writing code to test your code