AWS Glue Developer

2 weeks ago

India FLYONIT Full time

Position: AWS Glue Developer 


EXP: 8+ 

Location: Chennai/Hyderabad/Bangalore/Nagpur/Pune/Remote (For right candidate) 


Role: Full Time 


Skillset: 

• 8+ years of experience designing and implementing data pipelines on AWS.  


• Proven experience with AWS ETL services such as Glue, Lambda, Step Functions, and Kinesis.  


• Strong understanding of data warehousing concepts and data modeling principles.  

• Experience with SQL and scripting languages like Python or Bash for data manipulation and automation. 


 • Experience with data quality tools and techniques.  


• Excellent communication, collaboration, leadership, and problem-solving skills.  

• Ability to mentor and guide junior team members.  


Additional skills: 


 • Experience with cloud-native databases like Amazon DynamoDB and Amazon Aurora. 

 • Experience with data warehousing platforms like Redshift or Snowflake.  


• Experience with containerization technologies like Docker and Kubernetes. 


 • Experience with CI/CD methodologies for data pipelines. Preferred education and certification:  

• Bachelor’s degree in computer science or related field • AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Associate 


RESPONSIBILITIES 


 • Design, develop, and implement secure and scalable data pipelines on AWS utilizing services like Glue, Lambda, Step Functions, and Kinesis.  

• Lead a team of ETL engineers in designing and implementing data integration solutions. 


 • Optimize data pipelines for performance, scalability, and cost-effectiveness.  


• Develop and maintain documentation for data pipelines, ensuring transparency and knowledge transfer.  

• Implement data quality checks and monitoring to ensure data integrity throughout the ETL process. 


 • Collaborate with data analysts, data scientists, and business stakeholders to identify data needs and define ETL requirements.  


• Secure data access using AWS Identity and Access Management (IAM) policies. 

• Automate data pipeline deployment and management using Infrastructure as Code (IaC) principles with Terraform. 


• Stay up-to-date on the latest advancements in AWS data services and ETL best practices. 


• Troubleshoot and resolve complex data pipeline issues.  

 

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