Onsite)

NTT DATA Services•Jersey City, NJ

2d•Onsite

About The Position

We are looking for a seasoned Senior SQL Developer to join our data engineering team. In this role, you will serve as a subject matter expert in relational database design, development, and optimization — driving best practices across the organization and mentoring junior developers. You will work closely with data architects, analysts, and business stakeholders to deliver robust, scalable, and high-performance data solutions.

Requirements

10+ years of hands-on experience writing and optimizing complex SQL in production environments.
10+ years of Deep expertise in at least one enterprise RDBMS platform — Microsoft SQL Server or Oracle (proficiency in both is a strong plus).
10+ years of Advanced knowledge of indexing strategies (clustered, non-clustered, covering indexes, columnstore), execution plan analysis, and query optimizer behavior.
10+ years of Proven experience with stored procedures, CTEs, window functions, dynamic SQL, cursors, and advanced T-SQL / PL-SQL constructs.
Strong understanding of database design principles — normalization, referential integrity, partitioning, and data modeling (ER diagrams).
10+ years of Experience with ETL tools and data pipeline development (SSIS, Informatica, dbt, or equivalent).
Familiarity with high-availability and disaster recovery configurations (Always On, RAC, mirroring, log shipping).
Solid understanding of ACID properties, transaction management, and concurrency control.

Responsibilities

Design, develop, and maintain complex SQL queries, stored procedures, functions, triggers, and views across large-scale relational databases.
Perform deep-dive query performance tuning using execution plans, indexing strategies, query rewrites, and statistics analysis.
Identify and resolve bottlenecks, long-running queries, and resource-intensive operations in production environments.
Establish and enforce SQL coding standards, naming conventions, and best practices across the team.
Lead the logical and physical design of database schemas, including normalization, partitioning strategies, and data modeling.
Develop and maintain complex reports, dashboards, and data extracts for business intelligence and operational needs.
Monitor database health, performance metrics, and capacity planning to proactively address issues before they impact operations.
Manage database backups, recovery procedures, and ensure compliance with data retention policies.
Handle schema migrations, database upgrades, and patch deployments with minimal downtime.
Implement and maintain database security, including role-based access control and data masking where required.