Senior Data Quality Engineer

Job Description :

We are seeking an experienced and detail-oriented Senior Data Engineer with strong expertise in QA process automation for data validation and testing. The ideal candidate will bring hands-on experience with QuerySurge and a solid foundation in ETL / ELT processes, data integration, and data quality assurance.

In this role, you will be responsible for designing, developing, and automating data validation and testing workflows across our data pipelines. You will ensure data integrity, accuracy, and reliability by leveraging automated testing frameworks and working closely with cross-functional teams. A strong background in data engineering, SQL, and QA automation practices is required.

Primary Skills : AWS, ETL Concepts, Data Integration Tool (Any), QA

Secondary Skills : Python, DataStage, Informatica IICS, Informatica, SSIS

Role Description :

The Lead Data Engineer will be responsible for overseeing the design, development, and maintenance of our data infrastructure and pipelines. This role requires strong technical expertise, leadership skills, and the ability to work collaboratively with cross-functional teams to ensure efficient and reliable data processes.

Role Responsibility :

• Lead the design and architecture of scalable and robust data integration solutions on-premise and in the cloud.
• Ensure solutions meet business requirements and industry standards.
• Engage with executive leadership and key stakeholders to understand business needs and translate them into technical solutions.
• Define data models, schemas, and structures to optimize data storage, retrieval, and processing for analytical workloads.
• Work with data architects and solution architects to ensure alignment with overall data strategy and architecture principles.
• Lead a team of data engineers by providing technical guidance, mentorship, and support.
• Plan, prioritize, and manage data engineering projects, tasks, and timelines.
• Design, develop, and maintain data integration pipelines and ETL / ELT workflows.
• Lead more than one project or manage a larger team that might have sub-tracks.

Role Requirement :

Cassandra), cloud databases (RedShift, Snowflake, Azure SQL).

Additional Requirement :

(ref : hirist.tech)