Responsibilities 

• Contribute to a data-driven culture as well as a culture of experimentation across the organization. 
• Provide new and improve upon existing data platform offerings with a fundamental understanding of the end-to-end scenarios. 

• Collaborate with partner teams and customers to scope and deliver projects. 
• Authoring and designing Big Data ETL pipelines in SCOPE, Scala, SQL, Python, or C#  
• Data extraction, cleaning, preprocessing, and transformation to generate actionable insights. 
• Design and build insightful dashboards to present actionable insights and drive business decisions. 
• Implement tools and services to improve data agility of the organization 

Basic Qualifications: 

• 3+ years of experience in engineering 
• Proficiency in using one or more programming or scripting languages like Python, Java, Scala, C# etc.  
• Advanced SQL and data visualization and report authoring skills. 

• Ability to work and communicate effectively across disciplines and teams 
• Familiarity with distributed data processing and analysis, such as Map-Reduce or Apache Spark. 
• Demonstratable understanding of software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming). 
• BS or MS degree in Computer Science or Engineering OR equivalent years of work experience. 

Preferred Qualifications: 

• 2+ years of experience in data engineering 
• Understanding and experience with data cloud computing technologies such as – Azure Synapse, Azure Data Factory, SQL, Azure Data Explorer, Power BI, PowerApps, Hadoop, YARN, Apache Spark 
• Excellent analytical skills with systematic and structured approach to software design 
• DevOps experience with GIT and CI/CD