Posted on: 20/05/2026
Description :
Role & responsibilities :
Big Data Analyst
We are looking for an experienced Big Data Analyst with strong expertise in big data technologies, data engineering, and analytics. The ideal candidate should have hands-on experience in building scalable data solutions using PySpark and Databricks, along with strong visualization and reporting capabilities using Power BI.
Key Responsibilities :
- Design, develop, and optimize large-scale data pipelines and big data solutions.
- Work extensively on PySpark and Databricks for data processing, transformation, and analytics.
- Develop dashboards and business insights using Power BI.
- Build and maintain scalable big data architectures for high-volume data processing.
- Collaborate with business and technical stakeholders to understand analytics requirements.
- Support AI/ML use cases using basic knowledge of TensorFlow and PyTorch.
- Ensure data quality, performance optimization, and governance across platforms.
- Participate in solution design, code reviews, and production support activities.
Mandatory Skills :
- Expert-level experience in PySpark
- Expert-level expertise in Databricks
- Expert-level proficiency in Power BI
- Strong understanding of Spark and Big Data Architecture
- Beginner-level exposure to TensorFlow and PyTorch
Good to Have Skills :
- Java
- Hadoop
- SQL/Scala
- Automotive domain knowledge
Experience :
- 5 to 9 years experience in Big Data, Data Analytics, or Data Engineering roles.
- Experience working with enterprise-scale data platforms and cloud environments is preferred.
Preferred Candidate Profile :
- Strong analytical and problem-solving skills.
- Ability to work in a fast-paced and collaborative environment.
- Excellent communication and stakeholder management skills.
- Experience in handling large datasets and performance tuning.
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Posted by
Manimegalai Sarangokul
Principal Consultant - Talent Acquisition at AVTAR Career Creators
Last Active: 5 Aug 2026
Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1637262