Data Engineer - Scala / Spark / Kafka

Job Description

Role: Data Engineer – Scala / Spark / Kafka

\nLocation: India

\nEmployment Type: Contract

\nExperience: 5+ Years

\nDuration: 6–12 Months

\nStart Date: ASAP

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\nJob Description

\nWe 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.

\nThe 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.

\nThe role involves extensive work with distributed processing technologies, streaming platforms, and modern cloud-based data infrastructure .

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\nKey Responsibilities

\n\n • Design, develop, and maintain scalable data pipelines for batch and real-time processing.

\n • Develop data processing applications using Scala and Apache Spark .

\n • Build and maintain real-time streaming pipelines using Kafka and Spark Structured Streaming .

\n • Design and implement scalable data models and data processing solutions.

\n • Work with Hive, SQL, S3, Presto, Delta Lake , and other Big Data technologies.

\n • Analyze and optimize Spark jobs and distributed data workloads.

\n • Troubleshoot data pipeline, performance, and production issues.

\n • Ensure data quality, reliability, scalability, and availability.

\n • Collaborate with engineering, analytics, and other technical teams to deliver data solutions.

\n • Contribute to the design and development of modern data lake and lakehouse architectures.

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\nRequired Skills

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5+ years of professional experience in Data Engineering, Big Data Engineering, or a related field.

\n • Strong programming skills in Scala .

\n • Hands-on experience with Apache Spark for both batch and streaming workloads.

\n • Strong proficiency in Hive and SQL .

\n • Hands-on experience with Kafka and real-time event streaming.

\n • Strong understanding of Big Data technologies and ecosystems.

\n • Experience with S3, Hive, Presto, and Delta Lake .

\n • Experience designing and implementing scalable data models.

\n • Strong debugging and problem-solving skills.

\n • Experience with performance analysis and optimization of distributed data workloads.

\n • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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