Data Engineer

Capgemini

5 - 10 years

4 - 8 Lacs

noida

Posted:None| Platform:

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Skills Required

sizing presentation skills networking ops design principles azure databricks continuous integration python azure data lake amazon redshift data warehousing microsoft azure ci/cd azure data factory dataproc aws glue gcp bigquery etl aws data lake

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Role

IT experience with a minimum of 5+ years of experience in creating data warehouses, data lakes, ETL/ELT, data pipelines on cloud. Has data pipeline implementation experience with any of these cloud providers - AWS, Azure, GCP. preferably - Life Sciences Domain
Experience with cloud storage, cloud database, cloud Data ware housing and Data Lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3.
Experience with cloud storage, cloud database, cloud Data ware housing and Data Lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3. Experience in using cloud data integration services for structured, semi structured and unstructured data such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, AWS Glue, AWS EMR, Dataflow, Dataproc.
Good knowledge of Infra capacity sizing, costing of cloud services to drive optimized solution architecture, leading to optimal infra investment vs performance and scaling.

Your Profile

Able to contribute in making architectural choices using various cloud services and solution methodologies. Expertise in programming using python.
Very good knowledge of cloud Dev ops practices such as infrastructure as code, CI/CD components, and automated deployments on cloud. Must understand networking, security, design principles and best practices in cloud.
Knowledge on IOT and real time streaming would be added advantage.Lead architectural/technical discussions with client.
Excellent communication and presentation skills.

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