Big data developer

Job Title:

Big Data Developer
Experience Level  5+ years

Key Responsibilities  As a Big Data Developer, you will:
Data Ingestion & Automation:  Implement and automate data ingestion solutions using Hadoop, Sqoop, Hive, Impala, and Spark.
Pipeline Management:  Debug, performance tune, and troubleshoot big data pipelines.
Scripting & ETL:  Work with Linux/Unix Shell scripting, SQL, and ETL processes.
Agile Development:  Work within an Agile Scrum methodology.
Mandatory Skills & Experience  Technical Proficiency:
Excellent knowledge of  Big Data and Hadoop frameworks  (Cloudera preferable).
Hands-on experience in implementing and automating data ingestion solutions using  Hadoop, Sqoop, Hive, Impala, and Spark .
Hands-on experience with  Linux/Unix Shell scripting  (mandatory),  SQL , and  ETL .
Experience in  debugging, performance tuning, and troubleshooting big data pipelines .
Knowledge of  Jira, Dev Ops tools, and Git .
Experience &

Qualifications:

Relevant

Experience:

5+ years  as a Big Data Developer.
Experience in working in  Agile Scrum methodology .