| Data Engineer with QA at 100% Remote for Contract with 12+ years Must at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2010238&uid= Oorwin Email Hello Job Title: Data Engineer with QA Location: 100% Remote Duration: Long Term Contract Experience: 12+ years Must Note: No Card () Candidates Note: Candidate should take Glider Test, He/She should be available for 10 - 15 Min Technical Discussion with our CTO. Job Description We are seeking a skilled and detail-oriented Data QA Engineer to join our team. The primary responsibility of this role is to validate data integrity and ensure accuracy between an existing SQL Data Warehouse and a newly implemented Azure Databricks Lakehouse. The ideal candidate will have strong experience in data validation, SQL querying, and big data platforms, coupled with a passion for ensuring data quality. Responsibilities: Data Validation and Testing: Perform comprehensive validation of data migrated from the SQL Data Warehouse to the Azure Databricks Lakehouse. Develop and execute test cases, scripts, and queries to identify data discrepancies. Data Quality Assurance: Ensure data accuracy, consistency, and completeness across both environments. Collaborate with data engineering teams to resolve data quality issues promptly. Automation: Create automated data validation pipelines using SQL, Python, or other relevant tools to streamline QA processes. Reporting and Documentation: Document test cases, validation scripts, and any findings during the QA process. Generate detailed reports on data quality metrics and discrepancies. Collaboration: Work closely with data engineers, analysts, and business stakeholders to define QA processes and acceptance criteria. Participate in cross-functional discussions to ensure data quality requirements are met. Requirements: Technical Skills: Proficiency in SQL for data analysis and validation. Strong understanding of data warehousing concepts and ETL processes. Experience with Azure Databricks and SQL Data Warehouses. Knowledge of Python, PySpark, or similar programming languages for data automation. Data QA Experience: Proven experience in data quality assurance, validation, and testing. Familiarity with data validation tools and frameworks. Analytical Mindset: Excellent problem-solving skills and attention to detail. Ability to identify patterns and anomalies in large datasets. Communication: Strong written and verbal communication skills for documenting findings and collaborating with stakeholders. Preferred Qualifications Experience with data visualization tools such as Power BI for validation insights. Familiarity with Azure Data Factory or other data pipeline tools. Knowledge of Agile/Scrum methodologies. Thank you, Ram Lokesh | US IT Recruiter Fixity Technologies Email: [email protected] | Web: www.fixitytech.com https://www.linkedin.com/in/lokesh-manthripragada-8b9454240/ USA | Mexico | India Keywords: quality analyst business intelligence information technology card Data Engineer with QA at 100% Remote for Contract with 12+ years Must [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2010238&uid= |
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| 01:49 AM 13-Dec-24 |