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Data Engineer

Dallas, TX · Information Technology

We are urgently looking for Data Engineer for our Direct client requirement


TITLE: Data Engineer
LOCATION: Dallas TX
DURATION: 
 6+ Months & CTH 
Rate: DOE

Job Description:
Position Requirements:

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 Science Engineer role or Bachelor’s degree in computer Science and 6+ years of experience in a Data Science Engineer role

This position requires the candidate to have
  • Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
  • Expertise in natural language processing and machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking
  • Ability to implement large scale Deep Learning and Machine Learning algorithms to deliver resourceful insights and inferences
  • Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
  • Experience with Python libraries including NumPy, Pandas, SciPy, Scikit-Learn, MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc.
  • Excellent exposure to Data Visualization with Tableau, PowerBI, Seaborn, Matplotlib and ggplot2
  • Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar
  • 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 developing enterprise software products
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience working in an AGILE environment
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