SQL Developer
At Link Group, we build tech teams for Fortune 500 companies and the world’s most innovative startups. Our mission is to connect skilled professionals with opportunities that match their expertise, interests, and career aspirations.
About the Project
The project focuses on data processing and optimization within the finance/stock exchange industry . You will be responsible for developing, managing, and optimizing SQL databases and ETL processes to support business-critical applications.
Tech Stack
Databases: SQL Server, PostgreSQL, MySQL, Oracle
ETL Tools: SSIS, Talend, Apache Airflow
Cloud Platforms: AWS, GCP, Azure
Scripting: Python, Shell, PowerShell
What We Offer
Tailored opportunities to match your professional interests and goals.
A dynamic and collaborative work environment.
Access to exciting and diverse projects for global clients.
Competitive compensation aligned with your expectations.
Ongoing opportunities for professional growth and development.
If you're ready to take on new challenges and work on groundbreaking projects in the IT industry, we'd love to hear from you!
Apply today and join us at Link Group to make an impact!
Daily tasks
- Develop and optimize SQL queries, stored procedures, and database functions
- Design and maintain data models, schemas, and indexing strategies
- Implement and manage ETL pipelines for data extraction, transformation, and loading
- Ensure database performance, integrity, and security
- Work closely with BI, analytics, and data engineering teams to support business needs
Requirements
Must-Have Qualifications
At least 3+ years of experience as an SQL Developer
Strong SQL programming and database management skills
Experience with ETL processes and data modeling
Knowledge of performance tuning, indexing, and query optimization
Good command of English
Nice to Have
Experience with cloud-based databases (AWS RDS, Google BigQuery, Snowflake)
Familiarity with NoSQL databases
Scripting experience in Python, Shell, or PowerShell
Must have: SQL, ETL
Nice to have: AWS RDS, Google BigQuery, Snowflake, NoSQL, Python, Shell, PowerShell