SQL Developer
Job in
Germany, Pike County, Ohio, USA
Listed on 2026-03-01
Listing for:
allps
Full Time, Seasonal/Temporary
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Database Administrator, Data Engineer, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Job Title:
SQL Developer
Experience: 2–8 Years
Location: Remote
Employment Type: Full-time
We are looking for a skilled SQL Developer to design, develop, optimize, and maintain database solutions that support business applications and analytics. The ideal candidate should have strong experience in writing complex SQL queries, improving database performance, and collaborating closely with development and analytics teams to ensure data accuracy, reliability, and scalability.
Key Responsibilities- Design, develop, and maintain efficient SQL queries, views, stored procedures, and functions
- Optimize database performance through indexing, query tuning, and best practices
- Analyze and resolve database-related issues and performance bottlenecks
- Work closely with application developers, data analysts, and business stakeholders
- Ensure data integrity, consistency, and security across databases
- Support data migration, backups, and recovery processes
- Document database designs, processes, and technical solutions
- Assist in reporting and data extraction requirements when needed
- Strong hands-on experience with SQL (MySQL / Postgre
SQL / MS SQL Server / Oracle) - Expertise in writing complex joins, subqueries, CTEs, and window functions
- Experience in query optimization and performance tuning
- Solid understanding of database design, normalization, and indexing
- Experience working with large datasets
- Familiarity with ETL processes and data validation
- Strong analytical and problem-solving skills
- Good communication and documentation skills
- Experience with No
SQL databases (Mongo
DB, Dynamo
DB, etc.) - Knowledge of Python, PL/SQL, or T-SQL
- Exposure to data warehousing concepts
- Experience with BI tools (Power BI, Tableau, Looker, etc.)
- Familiarity with cloud databases (AWS RDS, Azure SQL, Google Big Query)
- Understanding of version control systems (Git)
- Basic knowledge of data security and compliance standards
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