Intermediate Data Engineer
2 weeks ago
Intermediate Data Engineer
Job Summary:
We are seeking an experienced Intermediate Data Engineer to join our team at Dimension Data. The successful candidate will have a strong background in data processing and archiving, with expertise in SQL and Big Data Analytics.
Key Responsibilities:
- Design and develop high-quality, custom workflows and analytics solutions.
- Develop, test, and implement big data solution designs.
- Collaborate with end users on standardized and best practice approaches.
- Make suggestions and enhancements on existing solutions.
- Provide regular and timely feedback to clients on design and build status.
- Educate requestors as to appropriate and desirable parameters to ensure they get the information they need.
- Ensure all tasks are updated on agile boards in a timely manner.
- Assist Project Managers and Change and Training Managers with any project and training related administration tasks.
- Actively Upskill in relevant technologies as prescribed by team leadership.
- Integration and execution with Machine-learning models and AI in-flow.
- Documentation and Design of Solutions.
Requirements:
- Minimum 4+ years work experience with exposure to data pipeline development and solutions architecture as well as project management/coordination experience.
- Extensive understanding and application of Python Development and building complex solutions and applications.
- Extensive understanding and application of Python and data processing and transformation.
- Strong understanding of Microsoft SQL Server and T-SQL Development.
- Strong Understanding of Code Optimization.
- Understanding of Real-Time Data Processing and Streaming.
- Understanding of Apache Beam.
- Advantageous
- Understanding of Apache NiFi and building complex workflows.
- Understanding of opensource streaming technologies (Apache Spark Streaming, Flink).
- Understanding of Apache Kafka.
- Understanding of Apache Spark.
- Understanding of Apache Hadoop.
- Competency in Python and developing Spark models.
- Fundamental understanding of MongoDB.
- Fundamental understanding of Redis.
- Fundamental understanding of Databricks.
Qualifications:
B Degree – Computer Science / Engineering.
Hortonworks Certified.
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