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.
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.
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.
Source: Infosys careers — Read the original posting and apply
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