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# Data Engineer

- **Company:** Apptad Inc.
- **Location:** New York, NY, United States
- **Contract:** Permanent contract
- **Skills:** CA Workload Automation Ae, Data Architecture, Data Validation, Data Integration, Extract Transform Load (ETL), Data Systems, Relational Databases, Python (Programming Language), Microsoft SQL Server, Software Engineering, SQL Databases, Systems Integration, Snowflake, Pyspark, Data Pipelines, Databricks, Control M
- **Published:** August 6, 2026
- **Apply:** https://www.dice.com/job-detail/94391ad3-fbdb-4fac-9426-ca6024b753ca

## About the Role

* Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark.
 * Strong understanding of relational databases, ETL processes, and data modeling.
 * Expertise in system design, architecture, and implementing robust data pipelines.
 * Hands-on experience with data validation, quality checks, and automation tools (Autosys, Control-M).
 * Effective communicator with the ability to collaborate with business analysts, users, and global teams.

## Description

Looking for skilled Data engineer with comprehensive experience in designing, developing, and maintaining scalable data solutions within the financial and regulatory domains. Proven expertise in leading end-to-end data architectures, integrating diverse data sources, and ensuring data quality and accuracy., * Collaborate with business stakeholders to gather technical specifications and translate business requirements into technical solutions.

 * Develop and optimize data models and schemas for efficient data integration and analysis.
 * Lead application development involving Python, Pyspark, SQL, Snowflake, and Databricks platforms.
 * Implement data validation procedures to maintain high data quality standards.
 * Conduct comprehensive testing (UT, SIT, UAT) alongside business and testing teams.
 * Provide ongoing support, troubleshooting, and maintenance in production environments.
 * Contribute to architecture and design discussions to ensure scalable, maintainable data solutions.
 * Experience with financial systems (capital markets, credit risk, and regulatory compliance applications).


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