Posted on: 30/01/2026
Job Title : Big Data Engineer
Loc : Hyderabad (WFO)
Exp : 8+y Mandatory
Job Summary :
We are seeking a highly skilled Big Data Engineer to join a long-term, mission-critical project on a Contract-to-Hire basis.
The ideal candidate will have strong hands-on experience in building and maintaining large-scale data pipelines within modern big data ecosystems.
This role requires deep expertise in Spark, Scala, Python, and AWS, along with exposure to real-time streaming frameworks such as Kafka. The position is based in Hyderabad and requires full-time Work From Office.
Key Responsibilities :
- Design, develop, and maintain scalable and high-performance data pipelines in a big data environment
- Build and optimize batch and real-time data processing workflows using Apache Spark
- Develop data engineering solutions using Scala and Python
- Work extensively on AWS cloud services to support data ingestion, processing, and storage
- Implement and support streaming data pipelines using Kafka or similar frameworks
- Ensure data quality, reliability, and performance across pipelines
- Collaborate with data architects, analysts, and downstream consumers to understand data requirements
- Monitor and troubleshoot production data pipelines and resolve performance or data issues
- Follow best practices related to data security, governance, and compliance
- Participate in code reviews and contribute to continuous improvement initiatives
Required Skills & Qualifications :
- 8+ years of experience as a Big Data Engineer or in a similar data engineering role
- Strong hands-on experience with :
1. Apache Spark
2. Scala
3. Python
- Solid data engineering experience on the AWS Cloud Platform (e.g., S3, EMR, Glue, Redshift, Lambda)
- Good understanding of streaming frameworks, especially Apache Kafka
- Experience designing and maintaining large-scale data pipelines in big data environments
- Strong problem-solving and debugging skills
- Ability to work independently in a fast-paced, on-site environment
Nice to Have :
- Experience with other big data tools (Hive, HDFS, Airflow, etc.)
- Exposure to real-time analytics or event-driven architectures
- Prior experience in long-term Contract-to-Hire engagements
- Strong communication and stakeholder collaboration skills
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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1607704