R-19462 Data Engineer Iii
2 days ago
Deep in 1 specific area (Power BI, ETL design, Visualization, Synapse SQL, Cloudera,Azure, Snowflake etc) or 1/more customers - Owner of the project (or module in case of large projects) for internal stakeholders (PMO, Principal etc) - Understands and communicates scope - Define and document approach and design (code / testing / migration) Explain scope / approach / design to customer / internal team as needed - Define Project detailed tasks Define templates / artifacts to be created for tasks (test results, test plan, design doc, requirements doc etc) - Define task duration and dependencies - Assign tasks to rest of the team members and monitor progress - Monitor quality - Review code and unit testing results Assists team members on tasks as needed. - Everything that staff does **REQUIREMENTS**: Demonstrate knowledge and real-world experience on Big data technologies. A successful history of manipulating, processing and extracting value from largedisconnected datasets. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Strong analytic skills related to working with unstructured datasets. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. > 5 years of experience in a Data Engineer role. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL databases such as Oracle, SQL Server, MySQL or Postgres. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. For senior data engineers also should have demonstrable experience in Project management and organizational skills Experience supporting and working with cross-functional teams in a dynamic environment. Good Academic track record preferred Some experience on visualization tools such as PowerBI/Tableau or other BI tools will be beneficial. QUALIFICATIONS/SALARY Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field Communicate by English well. 5+ years of relevant experience. Negotiable salary. **About Rackspace Technology** **More on Rackspace Technology
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