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# SQL Analyst - INTL India

- **Company:** Insight Global
- **Location:** Orlando, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Automation of Tests, Code Coverage, Information Engineering, Data Governance, Python (Programming Language), SQL Azure, Performance Tuning, Standard Sql, SQL Databases, Sql Optimization, Snowflake, Pytest, Machine Learning Operations, Databricks
- **Published:** June 11, 2026
- **Apply:** https://www.juju.com/job/00000000g72eun

## About the Role

* 3-6+ years of experience in SQL engineering, analytics QA, or data quality roles.

 * Expert SQL skills including window functions, complex joins, and performance tuning.

 * Experience with automated testing (Python/pytest) and data quality approaches.

 * Familiarity with lakehouse/warehouse platforms (Azure SQL/Synapse/Databricks/Snowflake).

 * Strong problem-solving and communication skills; ability to work across technical and business teams.

Desired Skills:

 * Experience with Great Expectations, dbt tests, or similar quality frameworks.

 * Knowledge of ML workflows and validation of model outputs (stability, drift, bias indicators).

 * Experience building dashboards for data health and QA coverage.

## Description

* Write advanced SQL to validate transformations, joins, aggregations, and business rules across datasets and features.

 * Create test plans and acceptance criteria for new data products, features, and model outputs.

Automated Testing & Quality Gates:

 * Implement automated data tests (schema, freshness, distribution, reconciliation) using Python and/or data quality frameworks.

 * Integrate QA checks into CI/CD pipelines and enforce release quality gates.

Monitoring & Issue Management:

 * Set up monitoring for data anomalies and pipeline failures; triage issues and drive root-cause analysis.

 * Partner with data engineering and ML Ops to improve observability and reduce recurrence.

Documentation & Governance:

 * Document test coverage, known limitations, and lineage; support audits and compliance requirements.

 * Promote best practices for data definitions and metric consistency.


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