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Azure Data Engineer CosmosDB -Senior
- Pull/ingest data from different sources transform and stitch and wrangle it for advanced analytics activities.
- Design implement and deploy data loaders to load data into the Engineering Sandbox.
- Leverage data best practices and tools and assist ML engineer in pulling filtering tagging joining parsing and normalizing data sets for use.
- Provide input to ML engineer/cloud engineer for the design and implementation of data management and/or architecture solutions.
- Develop & deploy azure databricks in a cloud environment using Azure Cloud services
- ETL design development and deployment to Cloud Service
- Interact with Onshore understand their business goals contribute to the delivery of the workstreams
- Design and optimize model codes for faster execution
Must have:
- 3 to 7 years of Experience in developing data ingestion data processing and analytical pipelines for big data relational databases NoSQL and data warehouse solutions
- Extensive hands-on experience implementing data migration and data processing using Azure services: Databricks ADLS Azure Data Factory Azure Functions Synapse/DW Azure SQL DB etc.
- Hands on experience in CosmosDB.
- Hands on experience in programming like Python/PySpark
- Need to have good knowledge on DWH concepts and implementation knowledge on Snowflake
- Well versed in DevOps and CI/CD deployments
- Must have hands on experience in SQL and procedural SQL languages.
- Strong analytical skills and enjoys solving complex technical problems.
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