Big Data Engineer
hace 5 días
Equifax is seeking a Big Data Engineer to become part of the Corporate Services Alliance implementing and supporting edge analytical solutions on a Google Cloud Ecosystem. You will find a great place to work if you are passionate about designing data ingestion jobs, learning new technologies, and proposing and adopting new technologies._ **What you’ll do**: - **Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies.** - **Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.** - Work across Teams and senior engineers to make Data more accessible to others within the organization. - Modify data extraction pipelines into standardized approaches that can be repeatable and reusable with mínimal supervision from senior engineers. - Automation of manual processes, optimize data delivery, re-designing infrastructure for greater scalability, etc. - Work closely with senior engineers to optimize query and data access techniques. - Participate in a tight-knit engineering team employing agile software development practices. **What experience you need**: - Bachelor's degree in Computer Science, Systems Engineering or equivalent experience. - < 1 experience/Knowledge in **Data Engineering **using programming languages such as **Scala, Java, Python, SQL** - < 1 experience/Knowledge in **Data Pipelines** - < 1 experience/Knowledge with **ETL **(Extract, Transform, and Load) procedures - < 1 experience/Knowledge in Big Data Technologies such as **Hadoop, Spark, Hive, Airflow** - < 1 experience/Knowledge in Cloud Technologies such as **GCP or AWS** - Any Cloud certification in GCP, AWS or Azure - English proficiency B2 or above **What could set you apart**: - **Data Engineering using GCP Technologies (BigQuery, DataProc, Dataflow, Composer)** - Self-starter that identifies/responds to priority shifts with mínimal supervision - Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. - Agile environments (e.g. Scrum, XP) - Relational databases (e.g. SQL Server, Oracle, MySQL) - Atlassian tooling (e.g. JIRA, Confluence, and Github) LI-DU1 LI-Hybrid
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Big Data Engineer
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Big Data Engineer
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