Data Engineer

Data modeling and SQL Scripting

• Experience of ETL tools, preferably SSIS
• Talk to Business and work on requirement gathering
• Get a functional understanding of requirements and create business requirement documents
• Responsible for designing relational and non-relational data stores on Azure.
• Responsible for designing and developing solutions in Azure big data frameworks/tools: Azure Data Lake, Azure Data Factory, Azure Data Bricks, Synapse, SQL Server, HDInsight.
• Gather and process raw data on a scale that meet functional / non-functional business requirements (including writing scripts, REST API calls, SQL Queries, etc.)
• Responsible for developing data set processes for data modeling, mining and production.
• Responsible for supporting our Software Developers, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Develop complex SQL queries in Azure SQL.
• Mentor and guide junior team members to get deliverables complete.
• Participate in defining best practices around Data models development and deliverables.
• End to end delivery of any project including Business communication, development, testing, migrations, support, user training and documentation.
• Responsible for query/reports performance tuning
• Identify, analyze, and interpret trends or patterns in complex data. Transform analyses into concrete, actionable recommendations to drive decision-making.

Desired Skills:

• Experience of working in team culture based environment.
• Advanced analytical thinking and problem-solving skills.
• A 'Get it done' attitude.
• Experience with answering and resolving key user support questions and requests.
• Superior Communication and Business-Technical Interaction skills.
• Fluent written and spoken English.