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Spark/Scala Developer

SysMind
6 - 10 Years
Multiple Locations

Posted on: 22/05/2026

Job Description

Company Overview :


Sysmind Tech PVT LTD is a leading technology solutions provider specializing in data engineering and analytics. We empower businesses across various sectors, including finance, healthcare, and e-commerce, to unlock the value of their data through innovative and scalable solutions. Our commitment to excellence and client satisfaction has made us a trusted partner for organizations seeking to gain a competitive edge in the data-driven landscape.


Role Overview :


We are seeking a highly skilled and experienced Spark/Scala Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and implementing robust data pipelines and solutions using Spark and Scala. You will collaborate closely with data scientists, data engineers, and business stakeholders to understand their requirements and translate them into efficient and scalable data processing solutions. Your work will directly impact the ability of our clients to make data-informed decisions and drive business growth.


Key Responsibilities :


- Design and develop scalable and efficient data pipelines using Spark and Scala to process large datasets.

- Implement data ingestion, transformation, and storage solutions to meet the needs of various business applications.

- Optimize Spark applications for performance and scalability to ensure efficient data processing.

- Collaborate with data scientists and business analysts to understand data requirements and develop appropriate solutions.

- Develop and maintain data quality checks and monitoring systems to ensure data accuracy and reliability.

- Contribute to the development of best practices and standards for data engineering within the organization.

- Troubleshoot and resolve data-related issues to ensure smooth data operations.


Required Skillset :


- Demonstrated ability to develop and implement data processing solutions using Spark and Scala.

- Proven expertise in writing efficient and optimized SQL queries for data extraction and manipulation.

- Strong understanding of Big Data technologies and Hadoop ecosystem components.

- Ability to communicate technical concepts effectively to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science or a related field.

- Adaptability to work in a fast-paced environment and collaborate effectively with distributed teams.

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