Data Engineer - Spark
Chargebee is hiring a Data Engineer to join their Data Platform team in Chennai, focusing on scalable infrastructure for analytics and customer-facing features. You will design and maintain data pipelines using Apache Spark, Kafka, and cloud infrastructure to process large-scale event-driven data. The role requires proficiency in SQL and at least one programming language like Python, Java, or Scala. You will collaborate with product and platform teams to ensure data integrity and system performance.
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Experience
1-2 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Chargebee is hiring a Data Engineer to join their Data Platform team in Chennai, focusing on scalable infrastructure for analytics and customer-facing features. You will design and maintain data pipelines using Apache Spark, Kafka, and cloud infrastructure to process large-scale event-driven data. The role requires proficiency in SQL and at least one programming language like Python, Java, or Scala. You will collaborate with product and platform teams to ensure data integrity and system performance.
TAL's take
Solid mid-tier B2B SaaS company with a well-defined role in a structured engineering team.
Very clear, structured JD detailing responsibilities, team context, and specific technical requirements.
Salaries at Chargebee
26.7 LPA average
Based on 37 Grapevine salary entries for Chargebee.
Engineering
0 - 2 years | L1
17 LPA average
Range: 16 - 20 LPA
Engineering
2 - 4 years | L3
27 LPA average
Range: 27 - 27 LPA
Engineering
4 - 6 years | Senior Software Engineer
16 LPA average
Range: 14 - 19 LPA
Engineering
10 - 12 years | L6
40 LPA average
Range: 40 - 40 LPA
Must haves
- 1-2 years experience with data processing pipelines
- Experience with production systems
- Experience with Apache Spark
- Strong knowledge of SQL
- Proficiency in Java, Python, or Scala
- Experience with relational databases
Tools and skills
Nice to have: aws, deltalake, iceberg, hudi.
About the company
Established B2B SaaS company with significant scale, but not a flagship tier-1 global or India unicorn.
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