Data Analytics Engineer

Data Analytics Engineer Job Description Template

Our company is looking for a Data Analytics Engineer to join our team.

Responsibilities:

  • Doing ad-hoc analysis and presenting results in a clear manner;
  • Extending company’s data with third party sources of information when needed;
  • Writing queries and integration scripts that provide data services to analysts and data scientists;
  • Supporting data discovery, data mining, and benchmarking of large data sets;
  • Scoring and managing data quality across the data lifecycle;
  • Document your work, in code comments, wiki documents, and customer-facing specifications;
  • Creating automated anomaly detection systems and constant tracking of its performance;
  • Supporting business intelligence and data visualization applications;
  • Enhancing data collection procedures to include information that is relevant for building analytic systems;
  • Developing robust data pipelines that transform and analyze data;
  • Data mining and processing using state-of-the-art methods.

Requirements:

  • Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, CNN, etc.;
  • Experience with Apache Hadoop stack (Spark, HDFS, Yarn, Map Reduce);
  • Experience and strong interest in data transformation, processing, and data analysis;
  • Data cleansing – providing estimated data and other advanced cleansing techniques;
  • Hands-on data mining, profiling, quality scoring, and analytics experience with large datasets;
  • Analytical, creative, and innovative approach to solving difficult problems;
  • Experience with mapping business needs to engineering systems;
  • Proven SQL capabilities;
  • Data discovery – finding new insights in related data sets;
  • Scripting and/or programming capabilities in Scala and Python.