AWS Data Engineer
Brillio is hiring an AWS Data Engineer to design and optimize large-scale data pipelines within their data infrastructure practice. The role focuses on building batch and real-time streaming solutions using PySpark, Kafka, and Kinesis, specifically handling IoT data streams. Candidates must have strong AWS cloud experience and advanced SQL skills for processing large datasets. This is a contract-to-hire position requiring immediate availability.
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Experience
6-8 years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Brillio is hiring an AWS Data Engineer to design and optimize large-scale data pipelines within their data infrastructure practice. The role focuses on building batch and real-time streaming solutions using PySpark, Kafka, and Kinesis, specifically handling IoT data streams. Candidates must have strong AWS cloud experience and advanced SQL skills for processing large datasets. This is a contract-to-hire position requiring immediate availability.
TAL's take
Solid tier-2 IT services role with clearly defined technical requirements and project focus.
Clear and well-defined technical responsibilities centered on AWS data engineering.
Salaries at Brillio
16.8 LPA average
Based on 59 Grapevine salary entries for Brillio.
Engineering
0 - 2 years | A2
13 LPA average
Range: 13 - 13 LPA
Engineering
2 - 4 years | B2
8 LPA average
Range: 4 - 12 LPA
Engineering
4 - 6 years | B2
15 LPA average
Range: 14 - 17 LPA
Engineering
6 - 8 years | B1
13 LPA average
Range: 8 - 18 LPA
Must haves
- Strong hands-on experience in AWS Cloud Services
- Excellent programming skills in Python / PySpark
- Advanced SQL for large datasets
- Experience with Kafka or AWS Kinesis for streaming data
- Experience handling IoT data pipelines
Tools and skills
Nice to have: databricks, apache airflow, redshift, snowflake, ci/cd, infrastructure-as-code.
About the company
Established IT services company with significant scale and global footprint.
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