Data Engineer – Java & Apache Spark | 7 YoE | Any UST Location | Immediate Joiner

Candidates ready to join immediately can share their details via email for quick processing.

📌 CCTC | ECTC | Notice Period | Location Preference

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Act fast for immediate attention! ⏳📩

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Mandatory Skills

• Core Java – Strong hands-on development experience
• Apache Spark – Strong practical experience developing distributed data processing applications
• Spark with Java / Spark APIs
• SQL – Complex queries, joins, transformations, and performance optimization
• Big Data / Distributed Data Processing
• ETL/ELT & Data Pipeline Development
• Strong understanding of OOP, Collections, Multithreading, Exception Handling, and Java fundamentals
• Experience troubleshooting and optimizing high-volume data processing workloads

Good to Have

• Experience with Kafka
• Exposure to Hadoop/HDFS
• Experience with cloud platforms such as Azure, AWS, or GCP
• Knowledge of Databricks
• CI/CD and DevOps exposure
• Docker/Kubernetes knowledge
• Experience working with relational and NoSQL databases