Note: The job is a remote job and is open to candidates in USA. Mindlance is seeking a Data Engineer to develop and implement robust database solutions. The role involves designing and maintaining databases, optimizing performance, and ensuring data integrity while supporting data-driven decision-making.
Responsibilities
- Developing and implementing database schemas, including tables, indexes, views, stored procedures, and triggers to meet business requirements and ensure data integrity
- Creating data models that represent the structure of the data, relationships between entities, and how data will be stored and accessed
- Planning and executing database migrations ensuring data integrity and minimal downtime
- Identifying and resolving performance bottlenecks, optimizing queries, indexes, and database configurations to improve query execution speed and overall system efficiency
- Continuously monitoring database performance, identifying and resolving issues, troubleshooting errors, and ensuring system stability and availability
- Implementing and managing backup and recovery strategies, including regular backups, disaster recovery plans, and data restoration procedures to ensure data availability and prevent data loss
- Implementing and enforcing security measures, including user authentication, authorization, access controls, and data encryption to protect sensitive data from unauthorized access and breaches
- Implementing procedures and checks to ensure data accuracy, consistency, and validity, including validation rules, data cleansing, and data quality monitoring
- Writing efficient and optimized SQL queries, stored procedures, functions, and triggers to perform data manipulation, retrieval, and analysis
- Creating and maintaining scripts for database administration tasks, including database creation, schema changes, data loading, and automated backups
- Implementing and managing high availability solutions, including database mirroring, log shipping, and Always On Availability Groups, to ensure continuous database availability
- Designing and implementing data warehouses, data marts, and business intelligence solutions to support data analysis and reporting
- Understanding and implementing cloud-based database solutions, including AWS RDS, to leverage cloud infrastructure and scalability
- Implementing data replication and distribution strategies to ensure data consistency across multiple databases or locations
Skills
- Core Database skillsets using SQL Server and Postgres
- Database Design and Implementation: Developing and implementing database schemas, including tables, indexes, views, stored procedures, and triggers to meet business requirements and ensure data integrity
- Data Modeling: Creating data models that represent the structure of the data, relationships between entities, and how data will be stored and accessed
- Table partitions and archiving
- Database Migration: Planning and executing database migrations ensuring data integrity and minimal downtime
- Database Administration and Maintenance: Performance Tuning: Identifying and resolving performance bottlenecks, optimizing queries, indexes, and database configurations to improve query execution speed and overall system efficiency
- Monitoring and Troubleshooting: Continuously monitoring database performance, identifying and resolving issues, troubleshooting errors, and ensuring system stability and availability
- Database Development and Support: SQL Development: Writing efficient and optimized SQL queries, stored procedures, functions, and triggers to perform data manipulation, retrieval, and analysis
- Advanced Database Technologies: High Availability and Disaster Recovery: Implementing and managing high availability solutions, including database mirroring, log shipping, and Always On Availability Groups, to ensure continuous database availability
- Backup and Recovery: Implementing and managing backup and recovery strategies, including regular backups, disaster recovery plans, and data restoration procedures to ensure data availability and prevent data loss
- Security Management: Implementing and enforcing security measures, including user authentication, authorization, access controls, and data encryption to protect sensitive data from unauthorized access and breaches
- Data Integrity and Quality: Implementing procedures and checks to ensure data accuracy, consistency, and validity, including validation rules, data cleansing, and data quality monitoring
- Database Scripting: Creating and maintaining scripts for database administration tasks, including database creation, schema changes, data loading, and automated backups
- Data Warehousing and Business Intelligence: Designing and implementing data warehouses, data marts, and business intelligence solutions to support data analysis and reporting
- Cloud Database Solutions: Understanding and implementing cloud-based database solutions, including AWS RDS, to leverage cloud infrastructure and scalability
- Data Replication and Distribution: Implementing data replication and distribution strategies to ensure data consistency across multiple databases or locations
Company Overview
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