Design, develop, and maintain automated test frameworks to validate data pipelines and large-scale data processing systems. Develop and execute automated tests to ensure accuracy, completeness, and integrity of data across ETL processes and data platforms. Define and lead test strategies, plans, and automation approaches aligned with agile development methodologies.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, SLK America Inc., is seeking the following. Apply via Dice today!
DUTIES:
Design, develop, and maintain automated test frameworks to validate data pipelines and large
scale data processing systems. Develop and execute automated tests to ensure accuracy,
completeness and integrity of data across ETL processes and data platforms. Define and lead test
strategies, plans, and automation approaches aligned with agile development methodologies.
Performs data quality validation, like schema checks, business rule verification, and data
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DevOps teams to integrate automates testing into CI/CD pipelines. Analyze defects, perform root
cause analysis and track quality metrics to ensure deliverables adhere to reliability and
performance standards. Review requirements, user stories and technical documentation to
ensure test coverage and early defect identification. Lead and coordinate testing activities across
onshore and offshore teams, ensuring timely delivery and quality outcomes. Participate in
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testing solutions. Identify risks, recommend mitigation strategies and drive continuous
improvements in testing and quality processes.
Requirements:
Master s Degree or foreign academic equivalent in Computer Science, Computer Applications,
Applied Computer Science, Computer Engineering, Management Information Systems,
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Engineer-Software, Analyst & Designer, Technical Lead-Software, Lead QA Automation
Engineer, QA Lead / Test Lead or related field. Required experience must include experience in
Hadoop, Cassandra, SQLite ,Tableau, Apache Superset, Python, SQL, ETL/ELT, Data Models,
Data Process, Azure Databricks, HDFS, Synapse, Analytical Framework, Visula
lization/Analytics, Pyspark, SSIS, Azure Data Factory, PowerBI, Power Query, DAX, Git..
Requires relocation to unanticipated client sites throughout the United States.
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