Data Engineer

Redolent • Sunnyvale, CA

38d • Onsite

About The Position

Accelerate migration of legacy on-prem Hive/Spark/Airflow pipelines and workloads to public cloud, leveraging GCP, BigQuery and DataProc to achieve cost efficiencies and acceleration of execution along with improved SLAs and Data Quality. Designs, develops, and implements Hadoop eco-system based applications to support business requirements. Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field and 5 years experience in computer programming, software development or related
• 3+ years of solid Java
• 2+ years experience in design, implementation, and support of solutions big data solution in Hadoop using Hive, Spark, Drill, Impala, HBase
• Hands on experience with Unix, Teradata and other relational databases.
• Strong communication and problem-solving skills

Nice To Haves

• Experience with @Scale a plus.

Responsibilities

• Accelerate migration of legacy on-prem Hive/Spark/Airflow pipelines and workloads to public cloud, leveraging GCP, BigQuery and DataProc to achieve cost efficiencies and acceleration of execution along with improved SLAs and Data Quality.
• Designs, develops, and implements Hadoop eco-system based applications to support business requirements.
• Follows approved life cycle methodologies, creates design documents, and performs program coding and testing.
• Resolves technical issues through debugging, research, and investigation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level