Data Engineer - Big data, Python, Pyspark, SQL

Role Description

• Hands on experience in predictive analytics and statistical tools, machine learning algorithms and big data tools
• Identify, analyze and interpret trends or patterns in complex data sets using various regression, classification or clustering ML approaches
• Good familiarity with classic ML approaches
• Create visualizations to visually represent data for consumption by different audiences

Business Domain knowledge: Finance & banking systems, Fraud, Payments

Niches: Cognitive Computing, Natural Language Understanding

Total Experience Required

• 2
• NLP exposure beneficial
• Deep Learning proficiency a plus

Required Technical Skills

• SQL, R or Python, , Spark, Hive
• Frameworks/libs: SciKit-learn, NLTK, Gensim, Pandas, NumPy, Matplotlib, SciKit

Desirable Technical Skills

• Hadoop, Spark, Elastic Stack, Git
• Frameworks/libs: TensorFlow, Keras, Spacy
• Familiarity with HTTP and invoking web-APIs

Personal Skills

• Experienced in managing work with distributed teams
• Experience working in SCRUM methodology
• Proven sense of high accountability and self-drive to take on and see through big challenges
• Confident, takes ownership, willingness to get the job done
• Excellent verbal communications and cross group collaboration skills