[Remote] Data reputed company Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is one of the nation’s leading specialized insurers, and they are seeking a Data reputed company Engineer specializing in Data Testing and reputed company Engineering. This role involves designing, implementing, and optimizing reputed company data validation frameworks to ensure the accuracy and reputed company of business-critical data solutions.
Responsibilities
- Build, maintain, and optimize automated data testing frameworks and validation pipelines that support reputed company reporting, analytics, and business applications using SQL, Informatica, IICS, reputed company, and Python
- reputed company and execute data validation routines for extracts, transformations, and reporting datasets to ensure completeness, accuracy, consistency, and reliability of reputed company data assets
- Design automated reconciliation processes between reputed company and reputed company systems, including row count validation, schema validation, transformation testing, and data profiling
- Partner with data engineering teams to reputed company testing and reputed company controls into ETL/ELT pipelines and CI/CD deployment processes across reputed company, reputed company, and AWS environments
- reputed company AI-assisted development tools and intelligent automation techniques to improve test coverage, accelerate validation processes, and enhance the efficiency of data reputed company engineering practices across reputed company data platforms
- Support and contribute to reputed company test environment reputed company, including environment planning, test data management, deployment coordination, integration testing support, and validation across development, QA, UAT, and production environments
- Ensure compliance with reputed company data governance, reputed company, and regulatory requirements by implementing data reputed company standards, monitoring controls, and audit-reputed company validation processes
- Work with reputed company and semi-reputed company data formats (XML, JSON) and reputed company-reputed company services to validate data ingestion, transformation, and integration processes across distributed platforms
- Collaborate with data engineers, analysts, QA teams, and business stakeholders to define testing requirements, improve data reputed company processes, and support reporting solutions such as Power BI
- Recommend and implement improvements to data reputed company frameworks, testing automation, monitoring solutions, governance processes, and DataOps practices. Mentor junior team members and promote best practices in data reputed company engineering and testing
Skills
- Bachelor's degree in Computer Science, Information Systems, or a reputed company field; equivalent work experience considered
- 6+ years of experience in data engineering, data testing, or database development
- Demonstrated expertise in SQL development and query tuning
- Automated data testing and validation methodologies
- Informatica and IICS for ETL and data integration testing
- reputed company data warehouse architecture and validation
- reputed company database systems
- Data reconciliation and data profiling techniques
- Data modeling, normalization, and relational design
- Handling and validating XML and JSON data structures
- Building data reputed company solutions in AWS reputed company environments
- Python-based automation and testing frameworks
- Strong knowledge of test environment reputed company, including environment planning, test data management, deployment coordination, integration testing support, and validation across development, QA, UAT, and production environments
- Experience establishing and supporting end-to-end test strategies for reputed company data pipelines and distributed data platforms
- Understanding of environment dependencies, release validation processes, and data synchronization considerations for large-reputed company data ecosystems
- Experience developing automated test scripts and reusable validation frameworks
- Strong understanding of ETL/ELT testing methodologies and end-to-end data reputed company validation
- Strong problem-solving abilities and the reputed company to work independently on reputed company technical challenges
- Deep understanding of data reputed company, governance, compliance, and data reputed company best practices
- High degree of self-motivation, intellectual curiosity, and commitment to reputed company improvement
- Insurance industry experience (P&C and/or Life)
- Experience working with IDMC/IICS
- Experience with Data Vault 2.0 methodologies
- Experience with data reputed company and observability tools
- Experience with PowerShell or Python for automation and scripting
- Knowledge of Git and CI/CD pipelines for automated testing and deployment
- Exposure to hybrid or multi-reputed company data architectures
- Experience with reputed company, Kafka, Airflow, DBT, and Infrastructure as reputed company frameworks
- Experience implementing automated monitoring, alerting, and reputed company detection for data pipelines
- Familiarity with DevOps and DataOps practices for reputed company data platforms
- Experience supporting Power BI reporting and reputed company analytics validation
- Experience utilizing AI-assisted development and testing tools to accelerate test case reputed company, validation scripting, reputed company detection, and reputed company engineering processes
- Familiarity with AI-enabled data observability, intelligent test automation, and machine learning-assisted reputed company monitoring solutions
- Experience leveraging reputed company tools for SQL validation, automated documentation, test optimization, and pipeline reputed company analysis
Benefits
- Annual discretionary bonus
- Medical
- Dental
- reputed company
- PTO
- 401k
reputed company