Company
Name :

Job
Title :

Python+PySpark+AWS+API(Rest/Fast)

Qualification
:

Any
graduation

Experience
:

5
to 6 years

Must
Have Skills :

Solid
proficiency in Python (including OOP and data manipulation).

- Hands-on
experience with PySpark for distributed data processing.

- Proficiency
in building and consuming RESTful
APIs using FastAPI or Flask.

- Solid
understanding of AWS
services:
S3, Glue, Lambda, EMR, Athena, and CloudWatch.

- Strong
SQL skills and experience with data
modeling and ETL
pipeline development.

Good
to Have Skills :

Experience
with Docker and containerizing APIs or Spark jobs.

- Familiarity
with Apache
Airflow,
AWS Step Functions, or similar orchestration tools.

- Exposure
to CI/CD
tools like Jenkins, GitHub Actions, or AWS CodePipeline.

- API
testing and documentation tools (e.g., Postman, Swagger).

- Knowledge
of Delta
Lake, Apache
Hudi,
or Apache




Iceberg for versioned data lakes.

Roles
and Responsibilities :

Design
and implement robust, scalable ETL/ELT
pipelines using Python and PySpark.

- Build
and deploy RESTful
APIs using FastAPI or Flask to serve data and services.

- Develop
and maintain data
workflows and jobs on AWS services such as Glue, Lambda, and EMR.

- Monitor
and troubleshoot data
pipelines and APIs,
ensuring reliability and performance.

- Collaborate
with cross-functional teams to understand
data needs,
deliver clean datasets, and optimize data architecture.

Location
:

Hyderabad

CTC
Range :

15
to 20 LPA

Notice
period :

15
DAYS

Shift
Timings :

Mode
of Interview :

FACE
TO FACE

Mode
of Work :

Mode
of Hire :

Note
:

📌 Python+PySpark+AWS+API(Rest/Fast) (Bengaluru)
🏢 Recognized
📍 Bengaluru