AWS Data Engineer

We are looking for an experienced AWS Data Engineer with 3-5 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in AWS data services, ETL development, and big data technologies.

Responsibilities

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines on AWS.

Build and optimize data ingestion and transformation workflows.

Develop and manage data lakes and data warehouse solutions.

Work with large-scale structured and unstructured datasets.

Implement data quality, governance, and security best practices.

Optimize data processing performance and cost efficiency.

Collaborate with business analysts, data scientists, and application teams.

Monitor, troubleshoot, and resolve data pipeline issues.

Support data migration and modernization initiatives.

Create technical documentation and maintain data architectures.

Required Skills

AWS Glue

AWS EMR

Amazon Redshift

Amazon S3

AWS Athena

AWS Lambda

SQL

Python

PySpark / Apache Spark

ETL Development

Data Warehousing

Data Lake Architecture

Good-to-Have Skills

AWS Kinesis

Apache Airflow

Kafka

Snowflake

Databricks

Terraform

CI/CD Pipelines

Hadoop Ecosystem

Qualifications

Bachelor's degree in Computer Science, Information Technology, or related field.

3-5 years of relevant Data Engineering experience.

Experience working in cloud-based data platforms and analytics environments.

Strong problem-solving and communication skills.

Technical requirements

Technology-AWS Glue, EMR, Redshift, Athena, S3, Lambda, Python, SQL, PySpark, Spark, ETL, Data Pipeline, Data Lake, Data Warehouse, Kinesis, Airflow, Databricks, AWS Data Engineer.

Education

Bachelor of Engineering,BTech