Job Role: Data Quality Engineer
Salary: Rs 14,88,350 per year
Location: Bengaluru, Karnataka
Company: Cargill
Qualifications: Bachelor’s degree
Experience: Minimum 3-6 years of experience
ABOUT CARGILL
Cargill is a worldwide leader in agribusiness and food production, based in 1865 and centered in Minneapolis, Minnesota. With operations in over 70 international locations, Cargill is deeply concerned with the delivery chain, from farming and trading to processing and distribution. The corporation focuses on a diverse range of sectors inclusive of agriculture, meals, and nutrients, leveraging its knowledge to offer essential services and products.
Cargill’s commercial enterprise spans more than one industry, inclusive of animal nutrients, grain, and oilseed buying and selling, and cocoa processing. Committed to sustainability and innovation, Cargill invests in generation and practices that beautify meal security, reduce environmental impact, and improve efficiency. The agency’s venture is to nourish the sector in a secure, accountable, and sustainable manner, aiming to address worldwide demanding situations through its wide-reaching operations and strategic partnerships.
Job Description
A Data Quality Engineer ensures the accuracy, integrity, and reliability of statistics across structures. Responsibilities consist of growing and enforcing information first-class frameworks, developing and executing take-a-look-at plans, identifying and resolving information issues, and monitoring data excellent metrics. The position includes participating with information engineers and analysts to establish records quality standards and pleasant practices. Key abilities consist of skillability in SQL, information profiling equipment, and sturdy analytical talents. Effective conversation and hassle-solving capabilities are essential for addressing statistics discrepancies and making sure excessive records requirements are maintained for the duration of the statistics lifecycle.
Responsibilities Of a Data Quality Engineer:
- Data Quality Frameworks: Develop and implement comprehensive data fine frameworks and methodologies to make certain data accuracy, consistency, and reliability across structures.
- Testing and Validation: Create, execute, and manipulate detailed test plans and statistics validation approaches to pick out and rectify records issues. Conduct root purpose analysis to decide the origin of information discrepancies.
- Data Monitoring: Continuously monitor records first-rate metrics and overall performance indicators. Generate and analyze reviews to evaluate the effectiveness of data pleasant tasks and make hints for enhancements.
- Issue Resolution: Collaborate with statistics engineers, analysts, and other stakeholders to address and remedy facts pleasant problems. Provide actionable insights and solutions to enhance data integrity.
- Standards and Best Practices: Establish and put in force statistics on nice standards and quality practices. Develop pointers and techniques for information control, information entry, and records protection to make certain consistency and accuracy. (Data Quality Engineer)
- Documentation: Maintain thorough documentation of information on first-rate procedures, standards, and methods. Ensure documentation is up-to-date and on hand for group individuals and stakeholders.
- Data Profiling: Conduct information profiling to assess the excellent of statistics, perceive anomalies, and decide the effect of facts and high-quality problems on business techniques and decision-making.
- Collaboration: Work intently with past-practical teams to understand records necessities and ensure information satisfactory goals align with enterprise goals. Provide training and assist to group participants on facts and satisfactory best practices.
- Continuous Improvement: Stay present-day with industry traits and improvements in data and nice control. Recommend and enforce new tools, technologies, and methodologies to beautify facts and quality tactics.
Qualifications Of a Data Quality Engineer:
- Educational Background: Bachelor’s diploma in Computer Science, Information Systems, Data Science, or a related area. Advanced ranges or certifications in statistics control are a plus.
- Technical Skills: Proficiency in SQL for facts querying and manipulation. Experience with statistics profiling and exceptional gear including Informatica, Talend, or DataRobot.
- Analytical Abilities: Strong analytical competencies with the potential to interpret complicated records units, identify developments, and generate actionable insights.
- Experience: Proven experience in a records best or facts control position, with a song file of correctly implementing information quality frameworks and resolving records issues.
- Communication Skills: Excellent written and verbal communique capabilities. Ability to deliver technical statistics actually to non-technical stakeholders. (Data Quality Engineer)
- Attention to Detail: High stage of attention to detail and accuracy in analyzing and handling data.
- Problem-Solving Skills: Strong problem-fixing competencies with a proactive technique for identifying and addressing information fine demanding situations.
- Project Management: Experience in coping with more than one project simultaneously, with the potential to prioritize responsibilities and meet closing dates efficiently.
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