Data Science/Engineering Consultant
7 days ago
Consultant - Business Consulting (Data Science/Engg)
5 – 10 years of Python data engineering experience• Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc., on AZURE.
• Experience in developing ETL, OLAP based and Analytical Applications.
• Experience in ingesting batch and streaming data from various data sources.
• Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)
• Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
• Experience in Azure Data Factory (ADF), Azure Data Brick, Azure Synapse, Azure SQL, Azure DWH, Azure Data Lake Storage / Analytics, Azure Database Migration Services
• Experience of DevOps and CD/CD tools.
• Familiarity with Rest APIs
• Experience with CI/CD pipelines, branching strategies, & GIT for code management
• Comfortable working in Agile projects
• Bachelor's degree in computer science, information technology, or a similar field.
• Clear and precise communication skills You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
• Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
• You will be confronted with a large variety of Data Engineer tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
• Design and develop world-class technology solutions to solve business problems across multiple client engagements.
• Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
• Work closely with AI and A team to build world-class solutions and to define AI strategy.
• You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
• Strong verbal, written and presentation skills
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