AWS Glue Application Developer (AWS Data Engineer)

AWS Glue Application Developer (AWS Data Engineer)

Experience: 8–10 Years

Location: Chennai / Hyderabad / Bangalore

Employment Type: Full-Time

About the Role

We are looking for an experienced AWS Glue Application Developer with strong expertise in AWS Data Engineering technologies to design, develop, and optimize enterprise-scale data platforms and ETL pipelines.

The ideal candidate should have hands-on experience with AWS Glue, PySpark, Python, SQL, AWS DMS, DataOps, and cloud-native AWS data services. You will be responsible for building scalable data integration solutions, designing modern data lake architectures, and supporting enterprise analytics workloads.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python. 

• Build and optimize enterprise data ingestion, transformation, and integration frameworks. 

• Design and implement AWS Data Lake and Cloud Data Warehouse solutions. 

• Develop and manage cloud-native data platforms using AWS services such as: 

o AWS Glue 

o AWS DMS 

o Amazon S3 

o AWS Lambda 

o Amazon Redshift 

o Amazon Athena 

o Amazon EMR 

o Amazon RDS 

o Amazon Kinesis 

• Design and optimize data models and data architecture for enterprise analytics. 

• Develop batch and streaming data pipelines for processing large datasets. 

• Orchestrate workflows using Apache Airflow and AWS Step Functions. 

• Monitor ETL jobs and production environments using Amazon CloudWatch. 

• Optimize SQL queries, PySpark jobs, and ETL workflows for performance and scalability. 

• Troubleshoot production issues, implement enhancements, and provide production support. 

• Collaborate with architects, analysts, and cross-functional teams to deliver business-critical data solutions. 

• Follow DataOps best practices and contribute to CI/CD-enabled data engineering workflows. 

Required Skills

Must Have

• 8–10 years of experience in Data Engineering / Big Data ETL 

• Strong expertise in: 

o Python 

o SQL 

o PySpark 

o AWS Glue 

o AWS DMS 

o Data Integration 

o DataOps 

• Hands-on experience with: 

o Amazon S3 

o AWS Lambda 

o Amazon Athena 

o Amazon Redshift 

o Amazon RDS 

o Amazon EMR 

o Amazon Kinesis 

o Amazon EC2 

• Experience designing: 

o ETL / ELT Pipelines 

o Data Lakes 

o Cloud Data Warehouses 

o Data Modeling 

o Data Architecture 

• Workflow orchestration using: 

o Apache Airflow 

o AWS Step Functions 

• Strong debugging, troubleshooting, and performance tuning skills. 

• Experience with AWS CLI, SDK, and APIs. 

Good to Have

• Experience with streaming data pipelines. 

• API integration experience. 

• CI/CD implementation for Data Engineering. 

• Infrastructure as Code (Terraform). 

• Cloud migration projects. 

• Data governance and security frameworks. 

Preferred Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related discipline. 

• AWS Certifications will be an added advantage. 

Soft Skills

• Strong analytical and problem-solving abilities. 

• Excellent communication and stakeholder management skills. 

• Ability to work independently in a fast-paced enterprise environment. 

• Strong ownership mindset and production support experience. 

• Team player with excellent collaboration skills. 

Why Join Us

• Work on enterprise-scale AWS Data Engineering projects. 

• Exposure to modern cloud-native data platforms. 

• Opportunity to work with cutting-edge AWS technologies. 

• Collaborative and innovation-driven work environment. 

• • Competitive compensation and career growth opportunities.