Data Engineer
On-siteDallas, Texas, United States
Job Summary
Build and optimize big data pipelines, architectures, and datasets while manipulating, processing, and extracting value from large disconnected datasets. Author advanced SQL queries for relational databases and develop processes supporting data transformation, structures, metadata, and workload management. Support cross-functional teams in an agile environment using big data tools like Hadoop, Spark, Kafka, and Azure cloud services. Develop enterprise software products with strong analytic skills for unstructured datasets using Python, Scala, or Java. Master's degree in a quantitative field with 3+ years of experience or Bachelor's with 6+ years required. Immediate availability needed for this 6+ month contract-to-hire role in Dallas, TX.
Required Qualifications
- Master's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- 3+ years of experience in a Data Engineering role
- Bachelor's degree in computer Science
- 6+ years of experience in a Data Engineer role
- Experience with big data tools: Hadoop, Hive, Spark, Kafka etc.
- Experience with relational SQL and NoSQL databases
- Experience with data pipeline and workflow management tools
- Experience with Azure cloud services or similar cloud platforms: Databricks, Azure HD Insights, ADF or similar
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
Desired Qualifications
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimizing 'big data' data pipelines, architectures and data sets
- Strong analytic skills related to working with unstructured datasets
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Experience supporting and working with cross-functional teams in a dynamic environment
- Experience working in an AGILE environment
- Experience developing enterprise software products
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