₹11L – ₹24L a year estimatetypical for IT Jobs in India, 962 posts
Posted 7 days ago
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Role at a glance
Experience
8+ years
Must-have skills
Data EngineeringDatabricksMicrosoft AzureApache SparkSQL
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Job description
Description
The role is responsible for supporting end-to-end data and reporting services across the
analytics landscape, including Power BI dashboards, Azure Databricks data processing
and transformation pipelines, Azure SQL/Synapse data warehouses, minor
enhancements and associated Azure data platform components.
Mandatory
8+ years of experience in BI, Data Engineering, or Analytics Platform Support.
Minimum 5 years of hands-on experience supporting Azure Databricks environments.
Strong PySpark development and troubleshooting experience.
Experience supporting enterprise-wide analytics and reporting platforms.
Strong SQL troubleshooting and data investigation skills.
Experience supporting Power BI production environments.
Experience working in a production support or IT operations environment.
Key skills
Required
Data EngineeringDatabricksMicrosoft AzureApache SparkSQL
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
Questions you may be asked
What is the difference between WHERE and HAVING?
What is the difference between DELETE, TRUNCATE and DROP?
What is the difference between an INNER JOIN and a LEFT JOIN?
What is the difference between a primary key and a unique key?
