Microsoft SQL Server Administration

Accenture PLC; Taguig; On-site; PHP 420,000 - 700,000; Full time

Job summary

Accenture in the Philippines seeks a Data Engineer to design, implement, and optimize data pipelines using Microsoft SQL Server. You will assess data stores, develop queries and procedures, and ensure data governance and retention.

The role requires strong SQL skills, data modeling, ETL experience, and collaboration with cross-functional teams to deliver scalable, high-performing data solutions.

Qualifications

• Advanced proficiency in Microsoft SQL Server and T‑SQL.
• Experience with complex queries, stored procedures, and performance tuning.
• Strong data analysis skills and ability to work with limited data dictionaries.
• Experience with SQL-based ETL processes and data lifecycle management.
• Excellent communication and stakeholder engagement abilities.

Responsibilities

• Assess databases against client data retention schedules and recommend retention strategies.
• Develop and maintain SQL Server queries and scripts for archiving and purging.
• Analyze datasets to identify insights and data relationships.
• Review and optimize SQL Server performance, including indexing and tuning.
• Support SQL-based ETL processes using Microsoft SQL technologies.
• Document data processes, logic, and workflows for governance and maintainability.
• Collaborate with stakeholders to gather data requirements and deliver SQL-based solutions.
• Continuously build subject-matter expertise in SQL Server data management and optimization.

Skills

SQL

Data analysis

Query tuning

ETL

Data modeling

Stakeholder communication

Collaboration

Tools

Microsoft SQL Server

SSIS

T-SQL

Job description

The Data Engineer is responsible for:

• Assessing data and application databases against the client's data retention schedules and recommending the appropriate retention schedule for various datasets.
• Developing and maintaining complex Microsoft SQL Server queries, stored procedures, and scripts to support data archiving, purging, and lifecycle management activities.
• Analyzing datasets to identify insights, trends, and data relationships, particularly in environments with limited or incomplete data dictionaries.
• Reviewing and optimizing SQL Server query performance, including indexing strategies, query tuning, and data processing enhancements.
• Supporting SQL-based ETL processes, including data extraction, transformation, loading, and validation using Microsoft SQL technologies.
• Documenting data processes, database logic, and workflows to ensure clarity, maintainability, and compliance with data governance standards.
• Collaborating with stakeholders and cross-functional teams to gather data requirements and deliver effective SQL-based solutions.
• Working independently while continuously building subject matter expertise in Microsoft SQL Server data management and optimization.
• Maintaining and enhancing technical proficiency by keeping current with best practices in SQL Server, data engineering, and database performance optimization.Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

The ideal candidate should possess:

• Advanced proficiency in Microsoft SQL Server and SQL data analysis, including experience with complex queries, stored procedures, and performance tuning.
• Experience with SQL Server data modeling and relational database design.
• Intermediate experience in data engineering and data analysis within SQL Server environments.
• Strong analytical and problem-solving skills, with the ability to work effectively with complex datasets.
• Excellent communication skills and the ability to engage with clients and stakeholders, including facilitating discussions and meetings when required.
• A collaborative mindset, actively contributing solutions to technical challenges and supporting continuous improvement initiatives.

#LI-PH

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Please read Accenture's Recruiting and Hiring Statementfor more information on how we process your data during the Recruiting and Hiring process.