No more applications are being accepted for this job
- 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
- 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.
Data Engineer - Dallas, United States - Redolent Infotech Pvt. Ltd.
Description
We are urgently looking for following resourcefor our Direct client requirementTITLE:
Data Engineer
LOCATION:
Dallas,
TX
DURATION:
6+ months ( CTH - Potential)
Rate:
DOE
Looking for candidates that are available immediately
Position Requirements:
Required Qualifications:
We are looking for a candidate with Master's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field and 3+ years of experience in a Data Engineering role or Bachelor's degree in computer Science and 6+ years of experience in a Data Engineer role
They should have experience in the following areas: