Quality DataEngineer
JobDescription :
We are seeking a Quality Data Engineer with a strongbackground in data quality engineering and data migration . The idealcandidate will have expertise in SQL , AWS / Redshift , and hands-on experiencewith data pipelines and migration efforts.
This role will focus onensuring the quality of data as it transitions from on-premise systems (SQL Server) to AWS / Redshift and integrates withplatforms like Salesforce .
Thesuccessful candidate will be involved in implementing anddocumenting processes, ensuring the adaptation of best practices,and integrating quality measures into datasystems.
KeyResponsibilities :
- Lead and maintain data migrationefforts from on-premise SQLServer to AWS / Redshift ,ensuring data quality throughout the process.
- Design, implement, and monitor datapipelines with a strong focus on quality and bestpractices .
- Work collaborativelywith software engineers and data teams to implement QE (Quality Engineering) practices fordevelopment processes.
- Develop, document, andmaintain best practices for dataquality in the context of AWS and Salesforceintegrations.
- Utilize and manage tools like SSIS , Python , CData (nice to have), dbt , and Astronomer to maintain data qualityacross environments.
- Build, maintain, andoptimize SQL queries and scripts fordata extraction, transformation, and loading.
- Collaborate with teams to define and enforce data governance and quality assurance measures.
- Work on integrating and automating datavalidation processes and quality checks within thepipeline.
RequiredQualifications :
- 3+ years of experience in Data Engineering with a focus on data quality .
- Proficiency in SQL andexperience working with AWS / Redshift environments.
- Experience with data migrationprojects from SQL Server to cloudplatforms such as AWS / Redshift .
- Hands-on experience with SSIS , Python , and working knowledge of dbt and Astronomer (nice to have).
- Strong understanding of Quality Engineering(QE) practices and their application in dataengineering processes.
- Experience with dataintegration platforms like Salesforce .
- Strong documentation skills with the ability to adapt andadopt best practices for data qualityand governance.
Preferred Qualifications (Niceto Have) :
- Experiencewith CData for dataintegration.
- Hands-on experience with dbt and Astronomer for managing datapipelines.
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