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Iris Software
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AWS Data - Senior Engineer

AWS Data - Senior Engineer

Iris Software

5 - 10 years

6 - 11 Lacs

Noida

Posted:2 days ago| Platform:

Apply

Skills Required

pyspark python aws lambda aws glue aws aws iam glue amazon redshift emr sql amazon ebs data modeling aws emr devops big data etl glacier data lake data processing airflow serverless data engineering ebs eventbridge data warehousing concepts

Work Mode

Work from Office

Job Type

Full Time

Job Description

5+ years of experience in data engineering with a strong focus on
AWS services
.

Proven expertise in:

Amazon S3
for scalable data storage
AWS Glue
for ETL and serverless data integration using

Amazon S3, DataSync, EMR, Redshift
for data warehousing and analytics

Proficiency in
SQL
,
Python
, or
PySpark
for data processing.
Experience with
data modeling
,
partitioning strategies
, and
performance optimization
.
Familiarity with orchestration tools like
AWS Step Functions
,
Apache Airflow
, or
Glue Workflows
.
Strong understanding of
data lake
and
data warehouse
architectures.
Excellent problem-solving and communication skills.

Mandatory Competencies

Beh - Communication

ETL - ETL - AWS Glue

Big Data - Big Data - Pyspark

Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate

Cloud - AWS - AWS S3, S3 glacier, AWS EBS

Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift

Programming Language - Python - Python Shell

Database - Database Programming - SQL

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