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Torrent Pharmaceutical Limited is hiring for Data / Big Data Testing Engineer | Apply now
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Role :Data / Big Data Testing Engineer
Location :Hyderabad
About the company and role
Torrent Pharmaceutical Limited is a leading company committed to Company’s mission or purpose. We are seeking a highly motivated Data / Big Data Testing Engineer to join our team in Hyderabad. In this role, you will be responsible for described the primary responsibilities below please have a look. We are looking for individuals with a strong background in Relevant skills or experience mentioned bellow, excellent problem-solving abilities, and a passion for Industry/Fied. If you are a talented and dedicated professional who thrives in a fast-paced environment, we encourage you to apply.
Job Description
Torrent Pharmaceutical Limited seeks a skilled Data / Big Data Testing Engineer to join its team. This role is crucial for ensuring data quality and driving data-informed decision-making within the organization. The ideal candidate will possess a strong analytical background and a proven ability to work collaboratively with various departments.
| Company Name | Torrent Pharmaceutical Limited |
|---|---|
| Role | Data / Big Data Testing Engineer |
| Location | Hyderabad |
| Salary | As per Company norms |
| Job Type | Full time |
Responsibilities
- **Data Quality and Integrity:** Maintain the accuracy, consistency, and reliability of data throughout its lifecycle. This includes identifying and rectifying coding errors in computer-generated reports and outputs, ensuring the validity and trustworthiness of data used for decision-making. Proactively cleanse data to eliminate inaccuracies and inconsistencies.
- **Data Collection and Management:** Gather data from diverse sources such as databases, APIs, and third-party providers. Maintain and ensure the optimal performance of databases and data systems. This includes implementing strategies for efficient data storage, retrieval, and security.
- **Reporting and Process Improvement:** Develop and maintain robust reporting processes that provide stakeholders with timely and accurate insights. Proactively identify and implement process improvements to enhance data reporting efficiency and effectiveness. Collaborate with departmental managers to define data requirements for analytical projects, tailoring these requirements to specific business processes and needs.
- **Automated Data Extraction:** Design and implement scripts and tools to automate the extraction of large datasets from websites and other digital sources. This will significantly improve data acquisition efficiency and availability.
- **Data Interpretation and Visualization:** Analyze complex datasets to identify trends, patterns, and correlations. Utilize statistical techniques to derive actionable business insights. Communicate these findings effectively through the creation of data dashboards, charts, and other visual aids to support decision-making across departments. Your analyses will directly inform business strategies and decisions.
Education Qualification
- Open to all applicants. Experience in data analysis, database management, or a related field is highly desirable, but not necessarily required. Candidates with a strong aptitude for analytical problem-solving and a commitment to data integrity are encouraged to apply.
Skills
- **Advanced Data Analysis:** Conduct thorough data analyses using sophisticated statistical methods and tools to uncover hidden patterns, correlations, and meaningful insights.
- **Database Management:** Manage and maintain databases to ensure their security, accessibility, and optimal functionality. This includes implementing strategies for data backup, recovery, and efficient data storage and retrieval.
- **Collaboration and Communication:** Effectively collaborate with management and stakeholders across various departments to align business priorities with information needs. Prioritize and rank data requirements for different business units based on their relative importance and impact. Clearly communicate complex data insights to both technical and non-technical audiences.
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
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