Senior Data Engineer

The Sr. Data Engineer is the one who designs and builds data foundations and end to end solutions for the business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider business stakeholder community. The Sr. Data engineer is expected to be a subject matter expert, who design & build data solutions and mentor junior engineers. They are also the key drivers to convert Vison and Data Strategy for IT solutions and deliver. The applicant must have the following: • Proven hands-on experience with Azure Data Factory, Databricks, PySpark, DLT, and Unity Catalog • Hands on Databricks expertise including Structured Streaming, Performance Tunning & Cost Optimization • Strong command of SQL and data modelling concepts • Excellent communication and interpersonal skills • Ability to manage stakeholders and work collaboratively in a team environment • Self-motivated, proactive, and capable of working independently with minimal supervision • Strong problem-solving skills and a mindset focused on continuous improvement • Experience with multiple if not all of the following: Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest, Qlik It would be ideal if the applicant had the following: • Azure certifications (e.g., Azure Data Engineer Associate, Databricks Professional) • Experience with CI/CD pipelines and DevOps practices in data engineering • Familiarity with data governance and security best practices in Azure • Experience in project management, running a scrum team • Exposure to working with external technical ecosystem