AWS Glue Developer
Job details
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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