Aws Data Engineer - Remote (Full- Time)

Iatika Technologies

5 - 7 years

15 - 30 Lacs

Gurugram

Posted:1 week ago| Platform:

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Skills Required

Aws Data Lake Data Engineering Aws Data Mining Aws Emr Aws Etl Amazon Sqs Aws Lake Formation Amazon Sns Kafka EMR Aws Glue Aws Dms Sql Aws Amazon Web Services Ec2 Aws Kinesis Aws Lambda Glue Aws Big Data Amazon Redshift Redshift Aws Etl Development AWS Athena Python

Work Mode

Remote

Job Type

Full Time

Job Description

Design, develop, and maintain robust data pipelines and ETL/ELT processes on AWS.
Leverage AWS services such as
S3, Glue, Lambda, Redshift, Athena, EMR
, and others to build scalable data solutions.
Write efficient and reusable code using
Python
for data ingestion, transformation, and automation tasks.
Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to support data needs.
Monitor, troubleshoot, and optimize data workflows for performance, reliability, and cost efficiency.
Ensure data quality, security, and governance across all systems.
Communicate technical solutions clearly and effectively with both technical and non-technical stakeholders.

Required Skills & Qualifications

5+ years
of experience in data engineering roles.
Strong hands-on experience with
Amazon Web Services (AWS)
, particularly in data-related services (e.g., S3, Glue, Lambda, Redshift, EMR, Athena).
Proficiency in
Python
for scripting and data processing.
Experience with SQL and working with relational databases.
Solid understanding of data architecture, data modeling, and data warehousing concepts.
Experience with CI/CD pipelines and version control tools (e.g., Git).
Excellent verbal and written communication skills
.
Proven ability to work independently in a fully remote environment.

Preferred Qualifications

Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions.
Familiarity with big data technologies such as Apache Spark or Hadoop.
Exposure to infrastructure-as-code tools like Terraform or CloudFormation.
Knowledge of data privacy and compliance standards.

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