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3.7

based on 146 Reviews

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Data Patterns Production Associate salaries in India

Annual salary range
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₹9 Lakhs - ₹11.5 Lakhs
Low Confidence
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Low confidence means that this average salary is based on data that was reported by very few people.
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Last Updated: 16 Mar 2023

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Production Associate salary at Data Patterns ranges between ₹9 Lakhs to ₹11.5 Lakhs per year for employees with 11 years of experience. Salary estimates are based on 1 latest salaries received from various employees of Data Patterns.

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.... No help from seniors. Top level management is very worst. Inhuman HR policies. Salary is below market level and that too we will receive once in two or three months. Waste company.

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...velopment and learning. Team mates are supportive. Safe place for women to work. Appraisals are fair and give good salary hike.

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There is bond for fresher's.

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2w
a system engineer
Just had to share this, I got a 100% hike!
I'm keeping this anonymous because I don’t want to disclose it in real life. After two years without a raise, I successfully negotiated a 100% increase at my current company. I focused on creating significant value and worked in cross-functional teams to learn as much as possible. There were times when I was overworked, but it was all worthwhile. I was confident that it was a mutually beneficial situation. My advice would be to choose your job wisely, create value in the right place, and don't be afraid to negotiate.
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Data Patterns Production Associate Salary FAQs

How the salary growth look like for a Production Associate at Data Patterns in India?
The salary growth for a Production Associate at Data Patterns depends on factors such as experience, performance, and promotions. On average, a Production Associate can expect the following growth trajectory at Data Patterns:

Experience Average Salary Range
11 years ₹9.0 Lakhs to ₹11.5 Lakhs per year
and so on.

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Data Patterns Production Associate salary in India ranges between ₹9 Lakhs to ₹11.5 Lakhs. This is an estimate based on latest salaries received from employees of Data Patterns.