Senior Azure Data Engineer/Data Scientist at Vito Solutions

JOB OVERVIEW:

We are seeking a highly skilled and experienced professional to join our data team as a Data Engineer and Data Scientist. This role will focus on collecting, processing, and analyzing data to drive actionable insights for the organization. The ideal candidate will have a strong background in data engineering and data science, along with the ability to work with large datasets, develop machine learning models, and contribute to data-driven decision-making.

DESCRIPTION OF THE POSITION:

• Design and develop data pipelines, ETL processes, and data integration solutions.
• Maintain and optimize data infrastructure, databases, and data warehousing systems.
• Ensure data quality, reliability, and consistency.
• Collaborate with other teams to understand data requirements and implement data solutions.
• Utilize machine learning and statistical techniques to analyze large datasets.
• Develop and deploy predictive models for various business applications.
• Create data visualizations and reports to communicate findings and insights.
• Collaborate with domain experts to identify data-driven opportunities and solutions.
• Evaluate and incorporate emerging data science tools and techniques

KNOWLEDGE AND SKILLS:

• Proficiency in Azure Data Factory, Azure SQL Database, Azure Databricks, and other relevant Azure services.
• Strong SQL skills and experience with data modeling techniques.
• Proficiency with data storage and data warehousing technologies (e.g., SQL databases, NoSQL databases, data lakes)
• Strong Python skills and experience.
• Strong knowledge of ETL processes, data integration, and data transformation.
• Familiarity with data integration and migration strategies.
• Strong understanding of machine learning algorithms, statistical analysis, and data modeling.
• Data visualization skills using tools like Tableau, Power BI, or Matplotlib/Seaborn.
• Familiarity with cloud platforms (e.g. Azure) for deploying data solutions
• Solid understanding of data security and compliance best practices.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.

QUALIFICATIONS REQUIRED:

• Bachelor's or higher degree in a relevant field such as Computer Science, Data Science, or Engineering

EXPERIENCE REQUIRED:

• Experience with data orchestration tools and workflow management.
• Relevant experience in data engineering and data science roles.
• Strong programming experience in languages such as Python, SQL, and proficiency with data manipulation libraries (e.g., pandas)
• Experience with distributed computing frameworks (e.g., Hadoop, Spark) and data processing tools
• Demonstrated experience in designing and implementing scalable ETL processes.
• Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Azure).

ADVANTAGEOUS:

• Experience in Fintech / RegTech
• Knowledge of Big Data technologies (e.g., Hadoop, Spark, Hive).