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3 Data Extraction Jobs

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Application Support Engineer

Accenture

2.0 - 7.0 years

Hyderabad

Work from Office

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Support Engineer, you will act as software detectives, providing a dynamic service that identifies and solves issues within multiple components of critical business systems. Your typical day will involve collaborating with various teams to troubleshoot and resolve software...

Posted 1 week ago

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Engineer III

confidential

4.0 - 8.0 years

Pune, All india

On-site

Role Overview: You will be responsible for designing, implementing, unit testing, documenting, and deploying applications and APIs based on functional requirements. Additionally, you will design and develop database applications using SQL Server Integration Services, TSQL, and Stored Procedures. Your role will involve consulting with the business to determine logical designs for new business solutions according to existing data architecture. You will also perform code reviews, analyze execution plans, and re-factor inefficient code. Providing technical support and guidance to Software Engineers I/II in the development of desired software/applications will be a part of your responsibilities. ...

Posted 1 week ago

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Mech Design Engr II

Sparta Systems

2.0 - 5.0 years

4 - 7 Lacs

Madurai

Work from Office

The Mechanical Design Engineer II role at Honeywell is an exciting opportunity to understand, work and deliver the Product Stewardship environmental compliance goals from HTS Madurai, India. The specialist should be capable of decision making, identifying, and addressing supplier questions or queries to meet internal requirements, must possess a positive attitude, proactive mindset and high attention to detail. This role which is a part of Honeywell Sustainability Center of Excellence (CoE) requires the ability to effectively collaborate both inside and outside the Product Stewardship function in a time-bound manner. You will be responsible for answering supplier queries and support improvin...

Posted 4 weeks ago

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Exploring Data Extraction Jobs in India

With the increasing amount of data being generated in various industries, the demand for skilled professionals who can extract, transform, and load data has been on the rise. Data extraction jobs in India offer a lucrative career path for individuals who are proficient in handling large datasets and extracting valuable insights from them.

Top Hiring Locations in India

Bangalore
Mumbai
Delhi
Hyderabad
Pune

These major cities in India are actively hiring for data extraction roles, with a plethora of job opportunities available for skilled professionals.

Average Salary Range

The average salary range for data extraction professionals in India varies based on experience levels. Entry-level professionals can expect to earn anywhere between INR 3-6 lakhs per annum, while experienced professionals with several years of experience can earn upwards of INR 10 lakhs per annum.

Career Path

In the field of data extraction, a typical career path may progress from a Data Analyst to a Data Engineer, and then to a Data Scientist. Within each role, professionals can further progress from junior positions to senior positions and eventually to leadership roles such as Tech Lead or Data Manager.

Related Skills

In addition to data extraction skills, professionals in this field are often expected to have knowledge of database management, data visualization tools, programming languages such as Python or SQL, and statistical analysis skills. Strong problem-solving abilities and attention to detail are also crucial for success in data extraction roles.

Interview Questions

What is data extraction and why is it important? (basic)
Explain the difference between structured and unstructured data. (basic)
How do you validate and clean data before extracting insights from it? (medium)
Can you walk us through a data extraction project you have worked on in the past? (medium)
What tools or software do you use for data extraction? (basic)
How do you handle missing or incomplete data during the extraction process? (medium)
What are some common challenges you face when extracting data from multiple sources? (medium)
How do you ensure the security and privacy of data during extraction? (advanced)
Describe your experience with ETL (Extract, Transform, Load) processes. (medium)
How do you stay updated with the latest trends and technologies in data extraction? (basic)
Can you explain the concept of data normalization and why it is important in data extraction? (medium)
How do you handle large volumes of data during extraction? (medium)
What is your approach to optimizing data extraction processes for efficiency? (medium)
How do you deal with stakeholders who have conflicting requirements for data extraction? (medium)
Can you provide an example of a data extraction project that helped improve business decision-making? (medium)
How do you ensure the accuracy and reliability of extracted data? (medium)
What are some best practices for documenting data extraction processes? (medium)
How do you handle data extraction from real-time sources? (advanced)
Describe a situation where you had to troubleshoot and resolve a data extraction issue. (medium)
How do you prioritize data extraction tasks when working on multiple projects simultaneously? (medium)
Have you worked with APIs for data extraction? If so, can you explain your experience? (medium)
What role does data governance play in data extraction processes? (medium)
How do you handle data quality issues that arise during the extraction process? (medium)
Can you discuss a time when you had to collaborate with cross-functional teams for a data extraction project? (medium)
What are some key performance indicators you track to measure the effectiveness of data extraction processes? (medium)

Closing Remark

As you explore opportunities in data extraction jobs in India, remember to showcase your expertise in handling data effectively and extracting valuable insights. Prepare for interviews by honing your skills and staying updated with the latest trends in the field. Apply confidently and demonstrate your passion for data extraction to stand out in the competitive job market. Good luck on your career journey!

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