AWS Glue Developer
3 weeks ago
: AWS Glue DeveloperEXP
: 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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