Title:We are looking for a seasoned Senior Python Developer with deep expertise in building scalable, cloud-native data solutions on AWS and the Databricks Lakehouse Platform. You will work alongside data engineers, architects, and product teams to design and deliver robust pipelines, APIs, and analytics products that power critical business decisions.

Job Description:

Required Skills &; Experience

Core Python & Engineering

7–10 years of professional Python development experience.

Deep proficiency with Python 3.x: OOP, design patterns, async programming, and

performance tuning.

Experience with web frameworks such as FastAPI, Flask, or Django.

Strong grasp of data structures, algorithms, and distributed systems.

Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB,

etc.).

Amazon Web Services (AWS)

Hands-on production experience with S3, Lambda, EC2, RDS, Glue, EMR, Step Functions,

and CloudWatch.

Solid understanding of AWS IAM, VPC, and cloud security best practices.

Deploying and managing containerised workloads on ECS, EKS,



or Serverless frameworks.

Infrastructure-as-Code using Terraform and/or AWS CloudFormation.

Databricks &; Big Data

Hands-on experience with Databricks Workspace, Clusters, Jobs, and Notebooks.

Proficiency in PySpark for large-scale batch and streaming data processing.

Working knowledge of Delta Lake: ACID transactions, time travel, and schema evolution.

Familiarity with medallion architecture (Bronze / Silver / Gold) and data lakehouse design

patterns.

Exposure to Databricks Unity Catalog, MLflow, and Feature Store is a plus.

DevOps &; Collaboration

Robust Git workflow: branching strategies, pull requests, and code review discipline.

CI/CD experience with GitHub Actions, Jenkins, or Azure DevOps.

Docker containerisation; Kubernetes familiarity is advantageous.

Proven ability to work effectively in Agile/Scrum environments.

Good to Have

AWS Certified Developer – Associate or Solutions Archite

📌 AWS Data Engineer (Delhi)
🏢 TENARAI TECHNOLOGIES PRIVATE
📍 Delhi