Data Engineer

Website

http : / / www.intraedge.com

Job Title : Data Engineer

Experience : 5–9 years

Location : [Remote]

Job Summary :

We are looking for a skilled

Data Engineer

with strong expertise in Python, PySpark, AWS services (Glue, Lambda), and Snowflake. The ideal candidate will design, build, and maintain scalable data pipelines, ensure efficient data integration, and enable advanced analytics and reporting across the organization.

Key Responsibilities :

Design, develop, and optimize

ETL / ELT pipelines

using

Python, PySpark, and AWS Glue .

Implement

data ingestion, transformation, and integration

from diverse structured and unstructured sources.

Work extensively with

Snowflake

for data modeling, performance tuning, and query optimization.

Automate workflows and data processing using

AWS Lambda

and other AWS-native services.

Ensure

data quality, consistency, and security

across data platforms.

Collaborate with data scientists, analysts, and business teams to deliver scalable data solutions.

Monitor, troubleshoot, and improve the performance of data pipelines.

Maintain proper

documentation

of data flows, processes, and best practices.

Required Skills & Qualifications :

4–9 years

of proven experience as a

Data Engineer

or similar role.

Strong programming skills in

Python

and hands-on experience with

PySpark .

Expertise in

AWS services

– Glue, Lambda, S3, CloudWatch, IAM, etc.

Proficiency in

Snowflake

– data modeling, warehouse design, query optimization.

Solid understanding of

ETL / ELT concepts, data warehousing, and big data processing .

Strong knowledge of

SQL

and performance tuning.

Experience with

version control (Git) , CI / CD pipelines, and deployment best practices.

Knowledge of

data governance, security, and compliance .

Excellent problem-solving, communication, and collaboration skills