3 – 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.
Bachelor's degree in computer science, information technology, or a similar field.
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
Familiarity with Rest APIs
Clear and precise communication skills
Experience with CI/CD pipelines, branching strategies, & GIT for code management
Comfortable working in Agile projects
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