We are seeking a highly skilled SQL Developer to support large-scale enterprise analytics and reporting platforms. The role involves developing and optimizing complex SQL queries, building analytical data models, and working closely with business, BI, and data engineering teams. Ideal candidate has experience with telecom-scale data, high-volume transactional systems, and executive reporting needs.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
SQL Developer – Enterprise Data & Analytics
Location: Onsite (Client-facing enterprise environment in Muscat, Oman)
Experience: 5-10 years
Notice Period: Immediate joiners preferred (up to 30 days acceptable)
Job Summary
We are looking for a highly skilled SQL Developer to support large-scale enterprise analytics and reporting platforms. The role involves developing and optimizing complex SQL queries, building analytical data models, supporting BI dashboards, and working closely with business, BI, and data engineering teams to deliver reliable, high-performance data solutions.
This role is ideal for someone who understands telecom-scale data, high-volume transactional systems, and executive reporting needs.
Key Responsibilities
SQL Development & Optimization
- Design, develop, and optimize complex SQL queries, views, and stored procedures for analytics and reporting.
- Handle large, high-volume datasets with a focus on performance tuning and scalability.
- Optimize query execution plans, indexes, and partition strategies.
Data Modelling & Warehousing
- Support dimensional and analytical data models (facts, dimensions, aggregations).
- Work with historical, daily, and near-real-time data.
- Ensure data consistency across reporting layers.
BI & Reporting Support
- Provide backend SQL support for BI tools (Power BI / Tableau / similar).
- Build optimized datasets and views for executive, operational, and functional dashboards.
- Support incremental refresh and time-based data slicing.
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Data Quality & Validation
- Perform data validation, reconciliation, and root-cause analysis for data issues.
- Implement checks for data completeness, accuracy, and timeliness.
Collaboration & Delivery
- Work closely with business analysts, BI developers, and data engineers.
- Translate business requirements into efficient SQL solutions.
- Support UAT, production releases, and post-deployment monitoring.
Mandatory Skills
- Advanced SQL (expert-level querying and optimization)
- Strong experience with enterprise RDBMS / MPP databases
- (e.g., PostgreSQL / Greenplum / SQL Server / Oracle / similar)
- Hands-on experience with:
- Joins, CTEs, window functions
- Performance tuning & indexing
- Handling large datasets (millions/billions of rows)
- Experience supporting analytics and reporting platforms
- Strong understanding of date/time logic, KPIs, and aggregations
Good to Have
- Experience in telecom, utilities, or large enterprise domains
- Exposure to cloud data platforms (Azure / AWS / GCP)
- Knowledge of ETL / ELT pipelines
- Experience working with BI tools (Power BI preferred)
- Familiarity with Agile / Sprint-based delivery
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Soft Skills
- Strong analytical and problem-solving mindset
- Ability to work in client-facing, high-expectation environments
- Clear communication with technical and non-technical stakeholders
- Ownership mindset, no “that’s not my table” attitude
What We Offer
- Opportunity to work on enterprise-scale data platforms
- High-visibility dashboards used by senior leadership
- Collaborative, fast-paced delivery environment
- Long-term project stability with scope for growth
Relocation & Benefits
We ensure a smooth transition and complete employee support:
•Work visa sponsorship with fast-track processing
•Comprehensive medical insurance coverage
•First flight ticket to Muscat
•Accommodation support for the first week
Why Join Us
•Competitive compensation aligned with experience
•Supportive, collaborative, and innovation-driven work environment
Interested candidates can apply directly through this post or share their resumes at: hr@namasys.ai
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