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Senior Data Engineer

Amgen

40.0 years

6 - 7 Lacs

Hyderābād

On-site

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Senior Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be ...

Posted 4 weeks ago

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Senior Associate_Azure Data Engineering

PwC Service Delivery Center

6.0 - 11.0 years

7 - 11 Lacs

Noida

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Responsibilities Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory. Architect and implement cloudbased data solutions, integrating structured and unstructured data sources. Build and optimize ETL workflows and ensure seamless data integration across platforms. Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems. Manage Azurebased storage solutions including Azure Data Lake and Blob Storage. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Azure ecosystem. Lead code reviews and ensure adherence to v...

Posted 1 month ago

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Exploring OLAP Jobs in India

With the increasing demand for data analysis and business intelligence, OLAP (Online Analytical Processing) jobs have become popular in India. OLAP professionals are responsible for designing, building, and maintaining OLAP databases to support data analysis and reporting activities for organizations. If you are looking to pursue a career in OLAP in India, here is a comprehensive guide to help you navigate the job market.

Top Hiring Locations in India

Bangalore
Mumbai
Pune
Hyderabad
Chennai

These cities are known for having a high concentration of IT companies and organizations that require OLAP professionals.

Average Salary Range

The average salary range for OLAP professionals in India varies based on experience levels. Entry-level professionals can expect to earn around INR 4-6 lakhs per annum, while experienced professionals with 5+ years of experience can earn upwards of INR 12 lakhs per annum.

Career Path

Career progression in OLAP typically follows a trajectory from Junior Developer to Senior Developer, and then to a Tech Lead role. As professionals gain experience and expertise in OLAP technologies, they may also explore roles such as Data Analyst, Business Intelligence Developer, or Database Administrator.

Related Skills

In addition to OLAP expertise, professionals in this field are often expected to have knowledge of SQL, data modeling, ETL (Extract, Transform, Load) processes, data warehousing concepts, and data visualization tools such as Tableau or Power BI.

Interview Questions

What is OLAP and how does it differ from OLTP? (basic)
Explain the difference between a star schema and a snowflake schema. (medium)
How do you optimize OLAP queries for performance? (advanced)
What is the role of aggregation functions in OLAP databases? (basic)
Can you explain the concept of drill-down in OLAP? (medium)
How do you handle slowly changing dimensions in OLAP databases? (advanced)
What are the advantages of using a multidimensional database over a relational database for OLAP purposes? (medium)
Describe your experience with OLAP tools such as Microsoft Analysis Services or Oracle OLAP. (basic)
How do you ensure data consistency in an OLAP environment? (medium)
What are some common challenges faced when working with OLAP databases? (advanced)
Explain the concept of data cubes in OLAP. (basic)
How do you approach designing a data warehouse for OLAP purposes? (medium)
Can you discuss the importance of indexing in OLAP databases? (advanced)
How do you handle missing or incomplete data in OLAP analysis? (medium)
What are the key components of an OLAP system architecture? (basic)
How do you troubleshoot performance issues in OLAP queries? (advanced)
Have you worked with real-time OLAP systems? If so, can you explain the challenges involved? (medium)
What are the limitations of OLAP compared to other data analysis techniques? (advanced)
How do you ensure data security in an OLAP environment? (medium)
Have you implemented any data mining algorithms in OLAP systems? If so, can you provide an example? (advanced)
How do you approach designing dimensions and measures in an OLAP cube? (medium)
What are some best practices for OLAP database design? (advanced)
How do you handle concurrent user access in an OLAP environment? (medium)
Can you explain the concept of data slicing and dicing in OLAP analysis? (basic)
What are your thoughts on the future of OLAP technologies in the era of big data and AI? (advanced)

Closing Remark

As you prepare for OLAP job interviews in India, make sure to hone your technical skills, brush up on industry trends, and showcase your problem-solving abilities. With the right preparation and confidence, you can successfully land a rewarding career in OLAP in India. Good luck!

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