Description

Build and maintain data transformation processes, metadata structures, and workload management systems.

This role is on-site.

Responsibilities

• Build and implement data ingestion and curation processes using Spark, Hive, and HDFS.
• Develop high-performance ETL code to handle large-scale data ingestion from multiple platforms.
• Create databases, schemas, and Hive tables using formats such as Orc, Parquet, Avro, and Text.
• Monitor production job performance and recommend infrastructure adjustments.
• Manage code versioning via Bitbucket and maintain CI/CD pipelines.

Required Skills

• 5+ years of experience in big data development.
• Proficiency in Spark using Scala or Python.
• Hands-on experience with Hive, HDFS, Sqoop, HBase, Kerberos, Sentry, and Impala.
• Strong SQL skills for complex queries, data analysis, and anomaly detection.
• Experience with Hadoop commands and shell scripting.
• Proficiency with Git and Bitbucket.
• Knowledge of CI/CD pipelines.

Preferred Skills

• Bachelor's Degree.

Key Skills

Education

Bachelor's Degree