Role: Data Engineer – Scala / Spark / Kafka
Location: India
Employment Type: Contract
Experience: 5+ Years
Duration: 6–12 Months
Start Date: ASAP

Job Description
We are looking for an experienced Data Engineer to design, build, and optimize scalable data platforms capable of processing large volumes of batch and real-time data.
The ideal candidate will have strong hands-on experience with Scala, Apache Spark, Kafka, and Big Data technologies . You will be responsible for developing robust data pipelines, designing scalable data models, troubleshooting performance issues, and collaborating with engineering and analytics teams to ensure reliable access to high-quality data.
The role involves extensive work with distributed processing technologies, streaming platforms, and modern cloud-based data infrastructure .

Key Responsibilities
- Design, develop, and maintain scalable data pipelines for batch and real-time processing.
- Develop data processing applications using Scala and Apache Spark .




- Build and maintain real-time streaming pipelines using Kafka and Spark Structured Streaming .
- Design and implement scalable data models and data processing solutions.
- Work with Hive, SQL, S3, Presto, Delta Lake , and other Big Data technologies.
- Analyze and optimize Spark jobs and distributed data workloads.
- Troubleshoot data pipeline, performance, and production issues.
- Ensure data quality, reliability, scalability, and availability.
- Collaborate with engineering, analytics, and other technical teams to deliver data solutions.
- Contribute to the design and development of modern data lake and lakehouse architectures.

Required Skills
- 5+ years of professional experience in Data Engineering, Big Data Engineering, or a related field.
- Strong programming skills in Scala .
- Hands-on experience with Apache Spark for both batch and streaming workloads.
- Robust proficiency in Hive and SQL .
- Hands-on experience with Kafka and real-time event streaming.
- Strong under

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