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Application Lead

Accenture

15.0 - 20.0 years

Pune

Work from Office

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Utilities Energy Data Management Device Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationKey Responsibilities1 Design, build and configure applications to meet business process and application requirements related to device management and exception module 2 Resolving the tickets based on the agreed TAT in contract 3 Resolving user issue and support them on daily operational tasks 4 Perform the enhancement and changes 5 Prop...

Posted 1 week ago

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Exploring Data Dictionary Jobs in India

With the rapid growth of data-driven industries in India, the demand for data dictionary professionals is on the rise. Data dictionary jobs involve managing and documenting data elements and their relationships within a database. This article will provide insights for job seekers interested in pursuing a career in data dictionary roles in India.

Top Hiring Locations in India

Bangalore
Mumbai
Hyderabad
Pune
Delhi

These cities are known for their thriving tech industries and are actively hiring for data dictionary roles.

Average Salary Range

The salary range for data dictionary professionals in India varies based on experience and skills. Entry-level positions can expect to earn between INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 12 lakhs per annum.

Career Path

In the data dictionary field, career progression typically involves moving from roles such as Data Analyst or Database Administrator to Data Architect or Data Engineer. The career path may include transitions like Junior Data Analyst → Data Analyst → Data Architect.

Related Skills

In addition to expertise in data dictionary management, professionals in this field are often expected to have skills in data modeling, database design, SQL, and data analysis.

Interview Questions

What is a data dictionary and why is it important? (basic)
Explain the difference between a logical data dictionary and a physical data dictionary. (medium)
How do you ensure data quality in a data dictionary? (medium)
Can you describe the process of creating a data dictionary for a new database? (medium)
What are some common challenges faced in managing a data dictionary? (advanced)
How do you handle data governance issues in a data dictionary? (advanced)
Explain the role of metadata in a data dictionary. (medium)
How do you handle data security and privacy concerns in a data dictionary? (medium)
Can you discuss the importance of data standardization in a data dictionary? (basic)
How do you ensure data dictionary documentation is kept up to date? (medium)
What are some best practices for data dictionary maintenance? (advanced)
How do you handle data dictionary conflicts or inconsistencies? (medium)
Describe a time when you had to troubleshoot a data dictionary issue. (medium)
How do you collaborate with other teams (e.g., data analysts, developers) in managing a data dictionary? (medium)
What tools or software have you used for data dictionary management? (basic)
How do you prioritize data elements in a data dictionary? (medium)
Can you explain the concept of data lineage in the context of a data dictionary? (advanced)
How do you handle data dictionary updates in a fast-paced environment? (medium)
Describe a successful data dictionary implementation project you were involved in. (medium)
How do you communicate data dictionary requirements to stakeholders? (basic)
What role does a data dictionary play in data governance frameworks? (advanced)
How do you ensure data dictionary compliance with regulations such as GDPR? (advanced)
Can you discuss the benefits of automating data dictionary management processes? (medium)
How do you handle data dictionary versioning and change management? (medium)
What are your strategies for ensuring data dictionary accuracy and completeness? (medium)

Closing Remark

As you explore opportunities in the data dictionary field in India, remember to continuously update your skills, stay informed about industry trends, and prepare thoroughly for interviews. With determination and dedication, you can build a successful career in this dynamic and in-demand field. Good luck!

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