Posted:1 week ago|
Platform:
Work from Office
Full Time
Minimum 7+ years of experience in data engineering or a related field • Proven experience in designing, developing, and deploying data pipelines
• Strong understanding of data warehousing, data lakes, and data modelling concepts
• Expertise in SQL and scripting languages (e.g., Python)
• Experience with cloud platforms (specifically Microsoft Azure and Google Cloud Platform) and their data engineering services (Azure Data Factory, Databricks, Data Lake Storage, Synapse Analytics and Google Cloud Dataflow, Dataproc, Cloud Storage, BigQuery, etc.)
• Experience working with data formats commonly used in software development (e.g., logs, code repositories) is a plus
• Experience with data migration strategies and data migration testing
• Experience in defining and implementing data testing strategies and data quality assurance processes, particularly in data migration projects.
• Experience in advising on and implementing test data generation techniques and tools.
• Experience with MLOps practices and tools for deploying and monitoring machine learning models.
• Experience with generative AI concepts and their application in data processing and analysis.
• Experience with Microsoft Power BI for data visualization
• Excellent communication and collaboration skills
• Ability to work independently and as part of a team
Please send your resume to gopi@nithminds.com
Nithminds
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