Job Description
Roles and Responsibilities:
- · Need to detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness and business value.
- · Design, architect, solutioning, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
- · You participate in early state design and feature definition activities, interacting with business stakeholders and TPO to gather requirements.
- · Reviewing team code and development to ensure on optimization of solution and code.
- · Responsible for implementing robust data pipeline using Microsoft, Databricks Stack
- · Responsible for creating reusable and scalable data pipelines
- · Act as Lead Data Engineer, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence.
Critical Skills to Possess:
- Knowledge/Experience with Azure cloud stack.
- · Advanced working knowledge and experience with relational and non-relational databases
- · Experience building and optimizing Big Data data pipelines, architectures and data sets
- · Strong analytic skills related to working with unstructured datasets
- · Strong experience in Azure Data factory, Databricks, Eventhub, Python, PySpark ,Azure Synapse and SQL
- · Azure Devops experience to deploy the ADF pipelines.
Preferred Qualifications:
- BS degree in Computer Science or Engineering or equivalent experience