Data Transformation Architect
4 days ago
As a seasoned Data Transformation Architect at TalentXO, you will have the opportunity to design and implement scalable big data transformations and pipelines. With our focus on innovative solutions, we're seeking an expert who can leverage their experience with Cloud Platforms like Azure, scripting languages such as SQL, Pyspark, and Scala, and bug data technologies including Hadoop, Spark, Hive, Snowflake, or Kafka.
Key Responsibilities:- Design and Implement Scalable Big Data Transformations and Pipelines: Utilize expertise in Cloud Platforms, scripting languages, and bug data technologies to craft efficient data transformations and pipelines.
- Proficiency in Cloud Services and Orchestration Tools: Familiarity with Azure services, including Azure Data Factory, and other orchestration tools is required.
- Strong Experience with Dimensional Modeling Principles: Develop data warehouses and data marts using dimensional modeling principles.
- Bachelor's Degree in Computer Science/Engineering or Similar: Possess a degree in Computer Science, Engineering, or a related field.
- 5-7 Years of Data Engineering Experience: Have at least 5 years of experience in data engineering with a focus on designing and implementing scalable big data transformations and pipelines.
- Strong Proficiency in Scripting Languages: Expertise in SQL, Pyspark, and/or Scala is essential, with hands-on experience in Databricks preferred.
- Experience with Monitoring and Logging Tools: Familiarity with Prometheus, Grafana, or Splunk for system performance and troubleshooting is desired.
- Project Management and Collaboration Tools: Experience with JIRA and/or Azure DevOps for tracking tasks, managing workflows, and facilitating communications within the team is advantageous.
- Data Visualization Tools: Proficiency in Power BI or similar data visualization tools to create meaningful reports is beneficial.
We offer a competitive salary of approximately $130,000 per annum, reflecting the value we place on your skills and experience.
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