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Data EngineerTata Consultancy ServicesUnited States
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Data Engineer

Tata Consultancy Services
  • US
    United States
  • US
    United States

Über

Must Have Technical/Functional Skills - Design, develop, and maintain PostgreSQL databases and data pipelines on AWS to support microservice-based applications. - Design and develop scalable, efficient data models aligned with the microservice-based System of Record (SOR) architecture. - Collaborate with Java microservice developers to integrate database solutions efficiently with application services. - Build and optimize ETL/ELT workflows for data ingestion, transformation, and storage using AWS services and custom scripts. - Tune PostgreSQL databases for performance, scalability, and reliability in a microservices environment. - Develop and maintain database schemas, stored procedures, and complex SQL queries aligned with application needs. - Automate database provisioning, schema migrations, backups, and monitoring using AWS tools and infrastructure as code (CloudFormation, Terraform). - Implement data modeling best practices to support analytics, reporting, and application functionality. - Ensure data security, integrity, and compliance with organizational policies and cloud security standards. - Troubleshoot and resolve database and data pipeline issues in development, staging, and production environments. - Participate in designing and implementing disaster recovery and high availability strategies for critical data systems. - Lead or support Salesforce to PostgreSQL (Aurora PostgreSQL) data migration projects, ensuring data accuracy and integrity. - Stay current with PostgreSQL, AWS data services, Java microservices frameworks, and industry best practices. - Experience with Salesforce data structures and migration tools (e.g., Salesforce Data Loader, APIs). - AWS Certified Data Analytics Specialty, AWS Certified Database Specialty, or AWS Certified Developer Associate. - Experience with containerization and orchestration tools such as Docker and Kubernetes. - Familiarity with streaming data platforms like Kafka or AWS Kinesis. - Knowledge of CI/CD pipelines and DevOps practices. - Experience with monitoring and logging tools such as CloudWatch, Prometheus, or Grafana. Roles & responsibilities • Bachelors degree in Computer Science, Engineering, or related field. • Proven experience as a Data Engineer, Database Engineer, or Backend Developer with PostgreSQL expertise. • Strong proficiency in PostgreSQL database design, query optimization, and performance tuning. • Hands-on experience with AWS services such as Amazon RDS (PostgreSQL), Aurora PostgreSQL, S3, Lambda, Glue, and Redshift. • Solid ex perience in Java microservice development using frameworks like Spring Boot or similar. • Proficiency in SQL and experience writing complex queries, stored procedures, and functions. • Experience building and maintaining ETL/ELT pipelines using Python, Airflow, AWS Glue, or similar tools. • Familiarity with infrastructure as code tools like CloudFormation or Terraform for automation. • Strong scripting skills (Python, Bash) for automation and data processing. • Understanding of cloud security best practices and data governance. • Excellent problem-solving skills and ability to work collaboratively in agile, cross-functional teams.
Salary Range: $130,000 to $150,000 per year
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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