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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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 solid 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

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- Design, develop, and maintain scalable data pipelines for batch and real-time processing.
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- Develop data processing applications using Scala and Apache Spark .
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- Build and maintain real-time streaming pipelines using Kafka and Spark Structured Streaming .
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- Design and implement scalable data models and data processing solutions.
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- Work with Hive, SQL, S3, Presto, Delta Lake , and other Big Data technologies.
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- Analyze and optimize Spark jobs and distributed data workloads.
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- Troubleshoot data pipeline, performance, and production issues.
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- Ensure data quality, reliability, scalability, and availability.
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- Collaborate with engineering, analytics, and other technical teams to deliver data solutions.
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- 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.
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- Strong programming skills in Scala .
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- Hands-on experience with Apache Spark for both batch and streaming workloads.
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- Strong proficiency in Hive and SQL .
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- Hands-on experience with Kafka and real-time event streaming.
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- Strong understanding of Big Data technologies and ecosystems.
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- Experience with S3, Hive, Presto, and Delta Lake .
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- Experience designing and implementing scalable data models.
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- Strong debugging and problem-solving skills.
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- Experience with performance analysis and optimization of distributed data workloads.
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- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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📌 Data Engineer - Scala / Spark / Kafka (Dindigul)
🏢 e-Solutions
📍 Dindigul