Data Engineer

Job-ID Reference
26-14951

Core Database skillsets using SQL Server and Postgres Database Design and Implementation:

Conceptual, Logical, and Physical Design:
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.(Optional) 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.(Optional) 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.(Optional) 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 Development and Support:

SQL Development:
Writing efficient and optimized SQL queries, stored procedures, functions, and triggers to perform data manipulation, retrieval, and analysis.(Optional) Database Scripting:
Creating and maintaining scripts for database administration tasks, including database creation, schema changes, data loading, and automated backups.

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.(Optional) Data Warehousing and Business Intelligence:
Designing and implementing data warehouses, data marts, and business intelligence solutions to support data analysis and reporting.(Optional) Cloud Database Solutions:
Understanding and implementing cloud-based database solutions, including AWS RDS, to leverage cloud infrastructure and scalability.(Optional) Data Replication and Distribution:
Implementing data replication and distribution strategies to ensure data consistency across multiple databases or locations.

EEO:“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”