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SAS Developer -Hexa

Q1 Technologies India PVT

Full time
Location
India
Work mode
Not stated
Salary
₹11L – ₹24L a year estimatetypical for IT Jobs in India, 905 posts
Posted 10 days ago

You apply on Q1 Technologies India PVT's website. CoreHRx takes you there after you sign in.

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Job description

Good hands on experience in BASE SAS & SAS EG
- SAS programming knowledge is a must with experience in Macros
- Good knowledge on ETL & SQL concepts
- only Developer experience and not Support or Reporting experience
- Exposure to scheduling (any scheduler)
- Basic understanding of Unix scripting

Good to have
---------
- Understanding of AWS/Azure to connect and fetch data from cloud

- Oracle and Datastage experience

Key skills

Required

ETLSQLUnix

Preferred

AWSMicrosoft Azure

Job market insights

474active ETL jobs in India
2,464active SQL jobs in India
186active Unix jobs in India
₹11L – ₹24L advertised yearly salary for IT Jobs in India (middle half of 905 posts that show a salary; median ₹17L)
11 more open jobs at Q1 Technologies India PVT

Jobs asking for ETL in India also ask for

  • SQL72%
  • Python56%
  • ELT40%
  • Data Engineering40%
  • AWS38%

From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this SAS Developer -Hexa job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 905 posts).

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Q1 Technologies India PVT's website. CoreHRx takes you there after you sign in.

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

  1. What is the difference between WHERE and HAVING?
  2. What is the difference between DELETE, TRUNCATE and DROP?
  3. What is the difference between an INNER JOIN and a LEFT JOIN?
  4. What is the difference between a primary key and a unique key?

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