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Developer

Cognizant

4.0 - 8.0 years

Hyderabad

Work from Office

Job Summary We are seeking a Developer with 4 to 8 years of experience who is proficient in Spark in Scala Delta Sharing Databricks Unity Catalog Admin Databricks CLI Delta Live Pipelines Structured Streaming Risk Management Apache Airflow Amazon S3 Amazon Redshift Python Databricks SQL Databricks Delta Lake Databricks Workflows and PySpark. The candidate should have domain expertise in Property & Casualty Insurance. The work model is hybrid with day shifts and no travel required. Responsibilities Develop and maintain scalable data pipelines using Spark in Scala and PySpark to ensure efficient data processing and transformation. Implement and manage Delta Sharing and Databricks Unity Catalog...

Posted 1 week ago

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Aws Data Engineer

Tata Consultancy Services

6.0 - 11.0 years

Chennai

Work from Office

TCS is inviting applications!! Role: AWS Data Engineer EXP: 6 - 9 YEARS LOCATION: Chennai **Weekday Walk- In-Drive** Date- 28 January 2026( Wednesday) Job Description Must have strong technical skill (development) of AWS tools and technologies. Glue Redshift S3 Lambda function PySpark and Python Step-functions/Airflow very good hands-on experience in implementation Data Lake & Data Warehouse using defined tools and technologies Must have good knowledge on Data Lake, Delta Lake and DW design & architecture Different data layers, Audit mechanism, DQ concept, incremental data load handling, CDC, delta lake etc. Must have good knowledge on Star Schema, Snowflake schema etc. Knowledge about data ...

Posted 1 week ago

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Exploring Amazon Redshift Jobs in India

Amazon Redshift is a popular data warehousing solution that is widely used by companies in India. Job opportunities for Amazon Redshift professionals are on the rise as more organizations are adopting this technology to manage and analyze their data efficiently. If you are a job seeker looking to explore opportunities in this field, here is a guide to help you navigate the Amazon Redshift job market in India.

Top Hiring Locations in India

Bengaluru
Hyderabad
Pune
Mumbai
Chennai

These cities are known for their growing tech industries and have a high demand for Amazon Redshift professionals.

Average Salary Range

The average salary range for Amazon Redshift professionals in India varies based on experience levels. Entry-level positions can expect to earn around INR 6-8 lakhs per annum, while experienced professionals can earn upwards of INR 15 lakhs per annum.

Career Path

A typical career path in Amazon Redshift may include roles such as Junior Developer, Senior Developer, Tech Lead, and Architect. As you gain more experience and expertise in Amazon Redshift, you can progress to higher roles with greater responsibilities.

Related Skills

In addition to expertise in Amazon Redshift, professionals in this field are often expected to have knowledge of SQL, ETL tools, data modeling, and cloud computing platforms such as AWS.

Interview Questions

What is Amazon Redshift and how does it differ from traditional databases? (basic)
How do you optimize query performance in Amazon Redshift? (medium)
Can you explain the difference between sort and dist keys in Amazon Redshift? (medium)
What are the limitations of Amazon Redshift and how would you work around them? (advanced)
How do you monitor and manage storage in Amazon Redshift? (medium)
Explain the concept of vacuuming in Amazon Redshift. (basic)
How do you load data into Amazon Redshift from different data sources? (medium)
What is the difference between COPY and INSERT commands in Amazon Redshift? (basic)
How do you handle data distribution in Amazon Redshift? (medium)
Can you explain the concept of WLM (Workload Management) in Amazon Redshift? (medium)
What are Redshift Spectrum and Redshift Concurrency Scaling? (advanced)
How do you scale Amazon Redshift clusters based on workload requirements? (medium)
Explain the different types of Redshift nodes and when to use each. (medium)
How do you troubleshoot performance issues in Amazon Redshift? (medium)
Can you describe a scenario where you optimized a query in Amazon Redshift? (medium)
What is the difference between dense and sparse compute nodes in Amazon Redshift? (basic)
How do you handle security in Amazon Redshift? (medium)
Explain the concept of data compression in Amazon Redshift. (basic)
How do you automate administrative tasks in Amazon Redshift? (medium)
Can you describe a scenario where you used Redshift Spectrum for querying external data? (medium)
What is the significance of leader and compute nodes in Amazon Redshift architecture? (basic)
How do you handle data backups and restores in Amazon Redshift? (medium)
Explain the concept of query queues in Amazon Redshift. (basic)
How do you handle schema changes in Amazon Redshift? (medium)
Can you discuss a challenging project you worked on in Amazon Redshift and how you overcame obstacles? (advanced)

Closing Remark

As you prepare for Amazon Redshift job interviews, make sure to brush up on your technical skills and knowledge of data warehousing concepts. With the right preparation and confidence, you can land a rewarding career in Amazon Redshift in India. Good luck!

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