Big Data Engineer (scala, Spark, Kafka, Sql Server)
- Coforge
- 6 - 8 years
- Hyderabad
- 6 days ago
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Job Description
We are Hiring Big Data Engineer (Scala, Spark, Kafka, SQL Server) at Coforge Ltd.
Company: Coforge Ltd.
Experience: 6 to 8 Years
Employment Type: Full-Time
Work Location: Greater Noida / Pune / Hyderabad (Work from Office).
Email: Ga***********r@co****e.com
WhatsApp: 9667427***
Job Overview:
Coforge Ltd. is seeking a highly skilled Big Data Engineer with strong hands-on experience in Scala, Apache Spark, and Apache Kafka to design, develop, and maintain scalable data processing solutions.
The ideal candidate will have a solid foundation in object-oriented programming, data pipeline development, and database interactions using SQL Server.
Key Responsibilities:
- Design, develop, and maintain high-performance batch and real-time data pipelines using Apache Spark
- Develop robust and scalable applications using Scala, following best practices and OOP principles
- Build and manage real-time data streaming solutions using Apache Kafka
- Perform efficient CRUD operations and data transformations using SQL Server
- Optimize data pipelines for performance, scalability, and reliability
- Collaborate with business analysts, data scientists, and other engineering teams to understand data requirements
- Participate in code reviews, debugging, and performance tuning
- Ensure data quality, consistency, and integrity across data platforms
- Write clean, reusable, and well-documented code
- Support production deployments and troubleshoot data-related issues
Required Skills & Technical Expertise:
- Strong hands-on experience in Scala (Must have)
- Extensive experience with Apache Spark for data pipeline development
- Practical experience with Apache Kafka (producer/consumer, streaming use cases)
- Experience working with SQL Server databases
- Strong knowledge of CRUD operations and SQL queries
- Excellent understanding of Object-Oriented Programming (OOP) concepts
- Experience in handling large-scale data processing systems
- Knowledge of data integration, transformation, and validation techniques
Good to Have:
- Exposure to distributed systems and big data ecosystems
- Experience with performance tuning and optimization
- Understanding of SDLC and agile development methodologies
- Ability to work in a fast-paced, delivery-focused environment
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: CoforgeLocation(s): Hyderabad
Keyskills: SCALA Kafka Spark CRUD operations large scale data processing systems SQL queries Apache Kafka SQL Server Object Oriented Programming Apache Spark
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