Desired Candidate Profile
The Challenge:
The Big-data specialist is involved in many aspects of a customer engagement; from the collaboration with other team members and customers to help stakeholders discover the information hidden in vast amounts of data, and help them make smarter decisions to deliver even better products. The primary focus will be in applying data mining techniques, doing statistical analysis, data preparation and building high quality prediction systems integrated with cloud enabled products.
Responsibilities:
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending companys data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Skill sets:
Minimum of 5+ years of experience out of which 2+ years in a data engineering role with demonstrable experience with Cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, and automating machine learning components.
Min. 1 year of experience with below technologies is mandatory.
o HDInsights
o Databricks
Strong experience in Azure Big Data Technologies like Azure Data Lake, HDInsights etc.
Knowledge of ChatBot Frameworks and Microsoft Cognitive Services.
Strong experience in any database technology (SQL Server / Azure Cosmos DB)
Strong experience in at least one programming language (i.e. C#, Python, R).
Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.)
Experience with data modeling and normalization concepts.
Experience with data visualizations tools like SSRS, PowerBI & Tableau.
Experience architecting and building data marts, warehouses, etc.
Experience working with different query languages (i.e. PL-SQL, T-SQL).
Understanding and experience working with cloud infrastructure services like Azure, Amazon Web Services & Google Cloud. Azure preferred.
Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.)
Understanding of development and project methodologies.
Ability to work collaboratively in teams with other specialized individuals.
Able to work in a fast-paced, technical environment.
Contact Details:
Keyskills:
sql server
data science
machine learning
python
spark
t - sql
hive
big data
azure
SCALA