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Job Description
Title: Senior Data EngineerLocation: Atlanta, GADuration: Fulltime/Direct Hire Holder or sJOB DESCRIPTION:The Sr Data Engineer position reports to the Manager, (Enterprise Data Engineering), and is responsible for the development and support of applications on a modern data lake, leveraging his/her expertise and knowledge of multiple systems/customer areas to help build a robust, scalable and reliable big data platform.- Perform coding/configuration, testing, implementation and documentation on solutions developed including design specifications.
- Perform applications programming activities, to include code, test, debug, document, maintain, and modify applications programs.
- Hadoop
- Ability to extract, analyze, and report the data.
- Strong attention to detail when identifying data relationships, trends, and anomalies.
- Thinking through long-term impacts of key design decisions and handling failure scenarios.
- Building self-service platforms to power company's cross functional teams and drive the whole organization to be data-driven. Serve data models as a product to entire organization.
- Maintain awareness of industry trends and evaluate applicability of new software tools to platform development.
- Serve as a coach and mentor to more junior developers to include delegating and managing tasks, as appropriate
- Consistently demonstrate regular, dependable attendance and punctuality.
- Commit to overall deliverables with customers and/or management
- Perform other duties as assigned
- Bachelor's Degree and 5+ years of related experience or an equivalent combination of education and experience.
- 5+ years hands-on experience with SQL such as relational data stores (For example: Oracle, Hive or similar), NoSQL data stores (Cassandra, Elasticsearch or similar)
- 2+ years deep hands-on skills in Big Data stack, namely Google Cloud Platform (BigQuery, Dataflow, Composer, Pub/Sub), EMS, Kafka, Flume, Hadoop, Apache open source frameworks
- Experience in coding applications using Java or Python
- Experience building scalable web services, ESB and event/stream processing.
- Good understanding of data engineering, ingestion and processing of data within Big Data ecosystems and performing complex query analysis and analytics on the data.
- Deep understanding of technology including (but not limited to) Hadoop (Flume, HDFS, Hive, HBase, YARN), Spark, Kafka, Elasticsearch, Kibana, Tomcat, stream processing, RDBMS, NoSQL databases, and so on.
- Expert understanding of all application development processes including software development methodology; ability to serve as a resource to others.
- Expert in existing applications supporting the business area. Able to serve as a key resource to ensure the system is performing up to requirements.
- Possesses understanding of multiple systems/customer areas, gained through previous experience in different areas and leverages that knowledge to support current customer(s).
- Works independently and provides guidance within technical area, applying in-depth knowledge of multiple technologies, as appropriate.
- Understands architectural issues, and factors them into decisions and recommendations.
- Provides technical leadership in areas of specialization.
Vacancy caducado!