Bigdata,Hadoop,HDFS,Hive.SQL,UNIX

Key Responsibilities:

Data Engineering & Development:

• Design, build, and maintain ETL/ELT pipelines using Hadoop ecosystem tools
• Write complex Hive queries for data transformation and analysis
• Work with HDFS for storage and efficient data access
• Develop UNIX shell scripts for automation of jobs and workflows
• Optimize SQL queries for performance and scalability

Data Processing & Integration:

• Process large volumes of structured and semi-structured data
• Integrate data from various sources into Hadoop-based data lakes
• Work with cross-functional teams to understand data requirements and deliver solutions

Monitoring, Maintenance & Quality:

• Monitor and troubleshoot production data pipelines
• Ensure data quality, integrity, and consistency across systems
• Support data ingestion, batch processing, and job scheduling (e.g., Oozie, Airflow)

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, IT, or related field
• 3–7 years of hands-on experience with Big Data tools
• Strong expertise in:
• Hadoop Distributed File System (HDFS)
• Hive (querying, optimization, partitioning)
• SQL (advanced queries, joins, aggregations)
• UNIX/Linux shell scripting
• Good understanding of data warehousing concepts and large-scale data processing