Senior Data Engineer AWS | Snowflake | PySpark | F2F

Saransh Software Solutions

6 - 11 years

8 - 16 Lacs

hyderabad

Posted:1 day ago| Platform:

Apply

Skills Required

pyspark data engineering snowflake aws python s3 airflow amazon ec2 elt workflows data warehouse lamda governance sql ci/cd pipelines data modeling glue amazon redshift dbt python scripting spark large-scale

Work Mode

Hybrid

Job Type

Full Time

Job Description

Senior Data Engineer AWS Snowflake | PySpark AWS | Face to Face | 20th Dec | Hyd

Role:

Data Engineer

Key Responsibilities:

Design, develop, and optimize
scalable data pipelines
using
PySpark
Build and maintain
ETL/ELT workflows
on
AWS cloud
Develop and optimize
Snowflake data models
, schemas, and performance tuning
Integrate data from multiple sources (structured & semi-structured) into
Snowflake
Implement
data transformations, validations, and quality checks
Work with
AWS services
such as
S3, Glue, Lambda, EC2, EMR, Redshift
Optimize
Spark jobs
for performance, scalability, and cost efficiency
Collaborate with
data analysts, data scientists, and stakeholders
Ensure
data security, governance, and compliance
best practices
Perform
troubleshooting, monitoring, and performance tuning
Participate in
code reviews and architectural discussions

Must Have Skills (Mandatory):

6+ years of experience

Good to Have Skills:

Experience with
Python scripting
Knowledge of
Airflow / AWS Step Functions
Experience with
CI/CD pipelines
Exposure to
real-time or streaming data
(Kafka – optional)
Experience working in
Agile/Scrum environments

Interested Apply or Refer!

Email:shalini.v@saranshinc.com

Contact: 9000269016

Mock Interview

Practice Video Interview with JobPe AI

Start PySpark Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.