Azure Digiops
Fractal is looking for a Data Engineer to join their analytics team to support Fortune 500 clients. The role involves monitoring, troubleshooting, and optimizing data pipelines within the Azure ecosystem. Candidates are expected to manage ETL workflows using PySpark and Python while collaborating with support teams. This position requires experience with modern data infrastructure and provides opportunities to work on AI-driven solutions.
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Experience
4-6 years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Fractal is looking for a Data Engineer to join their analytics team to support Fortune 500 clients. The role involves monitoring, troubleshooting, and optimizing data pipelines within the Azure ecosystem. Candidates are expected to manage ETL workflows using PySpark and Python while collaborating with support teams. This position requires experience with modern data infrastructure and provides opportunities to work on AI-driven solutions.
TAL's take
Solid tier-2 role in a well-established AI services firm with clearly defined data engineering responsibilities.
The JD provides a precise list of responsibilities, technical stack, and team interaction expectations.
Salaries at Fractal
22.8 LPA average
Based on 82 Grapevine salary entries for Fractal.
Engineering
0 - 2 years | 7.5+2
7 LPA average
Range: 7 - 7 LPA
Engineering
2 - 4 years | Grade 8
43 LPA average
Range: 9 - 225 LPA
Engineering
4 - 6 years | Grade 8
18 LPA average
Range: 11 - 26 LPA
Engineering
6 - 8 years | 7
23 LPA average
Range: 18 - 30 LPA
Must haves
- Experience with Azure Data Factory and Azure Databricks
- Proficiency in PySpark and Python for data processing
- Ability to perform root cause analysis and troubleshoot data pipelines
- Experience with SQL and data lake architectures
- Understanding of GenAI and Agentic AI concepts
Tools and skills
Nice to have: genai, agentic ai.
About the company
Established analytics and AI services company with a significant global footprint.
Posts mentioning Fractal
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