Aws Data Engineer

Code Vyasa

5 - 8 years

12 - 22 Lacs

mumbai

Posted:1 week ago| Platform:

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Skills Required

aws lambda data engineering aws redshift aws glue aws data engineer data transformation data pipelines python developer data warehouse sql optimization etl pipelines data integration sql aws rds iam cloudwatch aws s3 aws ec2 data lake cloud data engineer data modeling

Work Mode

Work from Office

Job Type

Full Time

Job Description

highly skilled and motivated AWS Data Engineer

Key Responsibilities

Design, develop, and maintain
scalable data pipelines
and
ETL workflows
using AWS services.
Build and automate data processing, transformation, and integration solutions using
Python
.
Optimize and manage
SQL queries, stored procedures,
and
database performance
across multiple environments.
Implement
cloud security
,
cost optimization
, and
performance tuning
best practices within AWS infrastructure.
Collaborate closely with
business analysts, data scientists,
and
application teams
to deliver high-quality data solutions.
Monitor, troubleshoot, and enhance the
reliability and performance
of data workflows and cloud systems.
Maintain
comprehensive documentation
of architecture, workflows, and data processes for knowledge sharing and scalability.

Required Skills & Qualifications:

Strong hands-on experience with
AWS services
such as
EC2, S3, RDS, Redshift, Glue, Lambda, IAM, and CloudWatch
.
Proficiency in
Python
for automation, data transformation, and workflow orchestration.
Advanced knowledge of
SQL
for complex query writing, performance tuning, and data modeling.
Experience with
data lake
and
data warehouse
architectures.
Familiarity with
CI/CD pipelines
,
version control (Git)
, and
infrastructure-as-code tools (CloudFormation/Terraform)
is a plus.
AWS certification in
Solutions Architect
,
Data Analytics
, or
Data Engineer
track is preferred.
Strong problem-solving mindset with a passion for innovation and continuous learning.

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