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Job Description

Big Data Engineer - Spark/Scala



Exp : 7 to 10 years



Location : Chennai


Overview :



We are looking for a highly skilled Big Data Engineer with extensive experience in Spark and Scala to join our team. The ideal candidate will play a crucial role in designing, developing, and optimizing large-scale data processing systems. You will work closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions.



Key Responsibilities :



- Design, develop, and maintain scalable data pipelines using Apache Spark and Scala.



- Collaborate with cross-functional teams to understand data requirements and deliver data solutions that meet business needs.



- Optimize Spark jobs for performance and cost-efficiency in a distributed computing environment.



- Implement best practices for data modeling, ETL processes, and data governance.



- Monitor and troubleshoot data processing workflows to ensure data integrity and availability.



- Work with cloud platforms (AWS, Azure, or GCP) to implement big data solutions.



- Stay up to date with industry trends and emerging technologies in big data and analytics.



Requirements :



- 7- 10 years of experience in Big Data technologies, with a strong focus on Apache Spark and Scala.



- Proficiency in data processing frameworks (Hadoop, Spark) and languages (Scala, Java).



- Experience with data warehousing solutions (Snowflake, Redshift, etc.) and SQL.



- Knowledge of data modeling, ETL processes, and data visualization tools (Tableau, Power BI).



- Familiarity with cloud services (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes).



- Strong analytical skills and the ability to work with large datasets.



- Excellent communication and teamwork skills.


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