Spark Developer (Big Data Engineer)

• Design, develop, and maintain scalable Big Data solutions using Apache Spark

• Work extensively with Scala and Java for distributed data processing applications

• Build and optimize Spark-based data pipelines for large-scale data processing

• Develop and manage RESTful web services using Java, Python, or Scala

• Work on Big Data ecosystem tools including Hive, HBase, Sqoop, Oozie, and Impala

• Write and optimize complex SQL queries for data extraction and transformation

• Work on ETL/ELT processes and data warehouse integration solutions

• Handle NoSQL and JSON-based data processing for modern data applications

• Collaborate with cross-functional teams to design data-driven solutions

• Ensure performance tuning and optimization of big data workflows

• Support development of web services and data integration components