Database Developer

Sdna; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Sdna seeks an experienced Senior Developer to design and optimize data solutions using PL/SQL, SQL, ETL, and Microsoft SSIS, supporting enterprise data warehousing initiatives in a hybrid work model. This role focuses on building robust scheduling workflows and integrating multi-channel and supply chain data for global stakeholders.

The ideal candidate will implement and optimize ETL pipelines, ensure data quality, and collaborate with cross-functional teams to deliver reliable analytics that

Qualifications

• Experience designing and optimizing data solutions for enterprise reporting.
• Strong skills in PL/SQL, SQL, and ETL workflows.
• Proficiency with Microsoft SSIS and managing data warehousing pipelines.
• Ability to translate multi-system data into centralized, reliable datasets.

Responsibilities

• Design and develop PL/SQL procedures, functions, and queries for robust data processing.
• Implement and optimize ETL workflows using SSIS to move and transform large datasets.
• Configure and manage scheduling for batch jobs to ensure timely data availability.
• Analyze data warehousing concepts to improve scalability and analytical value.
• Collaborate with cross-functional teams to translate data requirements into technical solutions.
• Perform root cause analysis and remediate data quality issues.
• Document data flows, mappings, and deployment steps for maintainability.
• Conduct unit, integration, and regression testing of PL/SQL, SQL, and ETL components.
• Provide production support for data warehouse jobs and SSIS packages.
• Engage stakeholders in a hybrid work setting to refine deliverables.
• Propose new data engineering patterns to increase automation and reliability.
• Align development with organizational goals to improve customer experiences and supply chains.
• Ensure compliance with quality guidelines and regulatory expectations.

Skills

PL/SQL

SQL

ETL

Data warehousing

SSIS

Tools

Microsoft SSIS

PL/SQL

SQL

Data warehousing

ETL

Job description

Roles & Responsibilities

Job Summary

We are seeking an experienced Senior Developer to design and optimize data solutions using PL/SQL, SQL,ETL, and Microsoft SSIS, supporting enterprise data warehousing initiatives in a hybrid work model. This role centers on building robust scheduling workflows and integrating multi-channel and supply chain data to improve operational insights and drive informed business decision-making for global stakeholders.

Key Responsibilities

• Design and develop complex PL/SQL and SQL procedures, functions, and queries that ensure accurate, performant, and reliable data processing for enterprise reporting needs.
• Implement and optimize ETL workflows using Microsoft SSIS to move, transform, and validate large datasets from diverse operational systems into centralized warehouse structures.
• Configure and manage scheduling for batch jobs and data pipelines to guarantee timely data availability aligned with business-day operations and service level expectations.
• Analyze existing data warehousing concepts and models to propose improvements that enhance scalability, maintainability, and analytical value across multiple business units.
• Collaborate with cross-functional teams to translate multi-channel and supply chain management data requirements into well-structured technical solutions supporting strategic initiatives.
• Perform detailed root cause analysis and remediation of data quality issues to ensure downstream analytics, dashboards, and operational decisions are based on trustworthy information.
• Document technical designs, mappings, data flows, and deployment steps in clear, reusable formats to support ongoing maintenance, future enhancements, and audit readiness.
• Conduct unit, integration, and regression testing of PL/SQL, SQL, and ETL components to verify functional accuracy, performance benchmarks, and alignment with enterprise standards.
• Provide production support for data warehouse jobs and SSIS packages by monitoring execution, troubleshooting failures, and implementing preventive improvements to reduce recurrence.
• Engage with stakeholders in a hybrid work setting to gather requirements, demonstrate solutions, and refine deliverables to consistently meet business expectations.
• Contribute to continuous improvement of data engineering practices by proposing new patterns, tools, and methods that increase automation, reliability, and transparency of data flows.
• Align daily development activities with organizational goals, ensuring data solutions enable better customer experiences, optimized supply chains, and informed decision-making across markets.
• Ensure compliance with internal quality guidelines and external regulatory expectations by implementing robust controls, validations, and traceability within data warehouse ecosystems.