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Sr. SQL Developer

Remote / Online - Candidates ideally in
New Jersey, USA
Listing for: ExlService Holdings, Inc.
Remote/Work from Home position
Listed on 2026-01-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Database Administrator, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
  • Locations US New Jersey (Lambertville) C80 (Work From Home)
  • Job Role Data Management and Analytics-Database Warehousing
  • Experience (In Years) 6-9
Job Description
  • Design, develop, and optimize complex SQL queries, views, stored procedures, and packages in Oracle
  • Build, maintain, and enhance ETL processes to ingest, transform, and integrate data from multiple internal and external sources
  • Support database-driven marketing campaigns
    , including audience selection, segmentation, suppression logic, and tracking
  • Ensure data accuracy, integrity, and performance across large, high-volume datasets
  • Collaborate with marketing, analytics, and data science teams to translate business requirements into technical solutions
  • Tune SQL and database processes for performance and scalability
  • Develop and maintain documentation for data models, ETL workflows, and business rules
  • Provide production support, troubleshooting, and root-cause analysis for data issues
  • Mentor junior developers and promote best practices in SQL development and data engineering
Responsibilities
  • 7+ years of experience as a SQL Developer
    , with significant hands-on Oracle experience
  • Advanced proficiency in Oracle SQL and PL/SQL
  • Strong experience designing and maintaining ETL pipelines (custom SQL-based ETL)
  • Experience working with large-scale relational databases and complex data models
  • Solid understanding of database marketing concepts
    , such as customer data, segmentation, campaign targeting, and response tracking
  • Strong performance tuning and query optimization skills
  • Experience with data quality validation and reconciliation
  • Ability to work independently and manage multiple priorities in a deadline-driven environment

Preferred Qualifications

  • Experience in marketing, CRM, loyalty, or customer analytics environments
  • Familiarity with data warehouse concepts
  • Exposure to cloud-based data platforms or hybrid environments
  • Knowledge of Python, Shell scripting, or other supporting languages a plus
  • Experience mentoring technical teams

Soft Skills

  • Strong analytical and problem-solving abilities
  • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Detail-oriented with a strong focus on data accuracy and reliability
  • Collaborative mindset and ability to work cross-functionally
Qualifications
  • 7+ years of experience as a SQL Developer
    , with significant hands-on Oracle experience
  • Advanced proficiency in Oracle SQL and PL/SQL
  • Strong experience designing and maintaining ETL pipelines (custom SQL-based ETL)
  • Experience working with large-scale relational databases and complex data models
  • Solid understanding of database marketing concepts
    , such as customer data, segmentation, campaign targeting, and response tracking
  • Strong performance tuning and query optimization skills
  • Experience with data quality validation and reconciliation
  • Ability to work independently and manage multiple priorities in a deadline-driven environment

Preferred Qualifications

  • Experience in marketing, CRM, loyalty, or customer analytics environments
  • Familiarity with data warehouse concepts
  • Exposure to cloud-based data platforms or hybrid environments
  • Knowledge of Python, Shell scripting, or other supporting languages a plus
  • Experience mentoring technical teams

Soft Skills

  • Strong analytical and problem-solving abilities
  • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Detail-oriented with a strong focus on data accuracy and reliability
  • Collaborative mindset and ability to work cross-functionally
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