Senior Data Engineer(Azure)/Tech lead

Job Description

Role & Responsibilities: The candidate will have to leverage strong collaboration skills and the ability to independently develop and design highly complex data sets and ETL processes to develop a data warehouse and to ask the right questions. You'd be engaged in a fast-paced learning environment and will be solving problems for the largest organizations in the world mostly Fortune 500. The candidate will also work closely with internal business teams and clients to work on various kinds of Data Engineering related problems like the development of a data warehouse, Advanced Stored Procedures, ETL pipelines, Reporting, Data Governance, and BI development. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Operations Research, Math, Economics or related discipline Strong SQL, Python, PySpark ETL development, Azure Data Factory and PowerBI knowledge and Hands-on experience Proficient in understanding the Business Requirement and converting it into process flows and codes(Special preference for SQL based stored procedures) Develop and design data architecture and frameworks for optimal performance and response time Strong Analytical skills and the ability to start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform insightful analysis, and draw conclusions relevant to the business problem Excellent communication skills to communicate efficiently (written and spoken) in English. Demonstrated ability to communicate complex technical problems in simple plain stories. Ability to present information professionally & concisely with supporting data. Ability to work effectively & independently in a fast-paced environment with tight deadlines. Ability to engage with cross-functional teams for implementation of project and program requirements. 5+ years of hands-on experience as a Data Engineer and in Tech lead roles. 5+ years of experience in data engineering on the Azure cloud, highly proficient in the Azure ecosystem and its services."