Description

You will design and support data engineering, advanced analytics, and business intelligence solutions across on-premise and cloud environments.

Responsibilities

• Develop ETL/ELT processes using Apache NiFi and Snowflake.
• Build and manage big data pipelines using Hadoop, Yarn, Hive, Spark, and MapReduce.
• Implement data engineering and analytics solutions on Google Cloud Platform using BigQuery, Cloud Storage, Cloud SQL, Cloud Pub/Sub, Cloud DataFlow, and Cloud Composer.
• Design data structures and schemas within complex software architectures.
• Support data sources and applications via HBase, Pig, Sqoop, and Flume.

Required Skills

• 5+ years of experience in big data processing and data engineering.
• Proficiency in Java, Python, Scala, or Perl.
• Hands-on experience with Hadoop ecosystem tools: Yarn, Hive, Pig, Sqoop, MapReduce, HBase, and Flume.
• Experience with ETL/ELT tools such as Apache NiFi, Informatica, or Talend.
• Strong knowledge of SQL and NoSQL databases, including Oracle and MSSQL.
• Experience with Google Cloud Platform (BigQuery, Cloud SQL, Cloud Storage, Cloud Pub/Sub, Cloud DataFlow, Cloud Composer).
• Solid understanding of data structures and data schemas.
• Strong mathematical and analytical problem-solving skills.
• Ability to work in a global, multi-functional environment.

Preferred Skills

• Ability to travel as needed.

Key Skills

Education

ANY GRADUATE