Aws Data Engineer

People Prime Worldwide

7 - 12 years

11 - 21 Lacs

hyderabad

Posted:4 hours ago| Platform:

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Skills Required

aws data engineering pyspark data engineering etl aws python sql

Work Mode

Hybrid

Job Type

Full Time

Job Description

About the Role

AWS Data Engineer

Key Responsibilities

Design, develop, and maintain
data pipelines
using AWS services such as
Glue, Lambda, Step Functions, EMR, Kinesis,
and
Data Pipeline
.
Build and optimize
data lakes
,
data warehouses
, and
analytics platforms
using
S3, Redshift, Athena, Lake Formation
, and
Glue Catalog
.
Develop and implement
ETL/ELT workflows
for structured and unstructured data.
Work with stakeholders (data analysts, data scientists, business teams) to understand data requirements and translate them into technical solutions.
Implement
data quality
,
data governance
, and
security best practices
(IAM, KMS, encryption, access control).
Optimize performance and cost for AWS-based data workloads.
Monitor, troubleshoot, and improve reliability of data pipelines.
Build CI/CD pipelines for data engineering workflows using tools like
CodePipeline, CodeBuild, Jenkins, GitHub Actions
, etc.
Work with
Python, SQL, PySpark
, or similar languages for data transformations.
Collaborate in an Agile environment to deliver high-quality solutions.

Required Qualifications

Bachelors degree in Computer Science, Information Systems, Engineering, or related field.
6+ years of experience as a
Data Engineer
.
Strong experience with
AWS analytics and compute services
:
S3, Glue, Lambda, Step Functions, EC2, EMR
Redshift, DynamoDB, Athena, Kinesis
Strong programming experience in
Python
and
SQL
; familiarity with
PySpark/Spark
.
Experience with
data modeling
(dimensional, relational, star/snowflake schemas).
Experience building and maintaining
ETL/ELT
pipelines.
Solid understanding of
cloud security, networking
, and AWS IAM.
Experience with version control (Git) and CI/CD processes.

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