Data Analyst/Engineer I Capgemini Invent

3.0 - 7.0 years

0 Lacs

kolkata, west bengal

On-site

As a Data Engineer, you will be responsible for working with a variety of technologies in the field of data engineering and data science. Your main responsibilities will include: - Demonstrating expertise in working with Azure Datalake, Azure function, Azure Databricks, Azure Data Factory, and PostgreSQL. - Utilizing working knowledge in Azure DevOps and Git flow as an added advantage. - Showcasing proficiency in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, and AWS RedShift. - Providing innovative solutions to data engineering problems and documenting technology choices and integration patterns. - Applying best practices for project delivery with clean code and demonstrating innovati...

Posted 4 weeks ago

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Data Analyst/Engineer I Capgemini Invent

3.0 - 7.0 years

0 Lacs

kolkata, west bengal

On-site

As a Data Engineer, you will be responsible for handling various technologies related to cloud platforms such as Azure Datalake, Azure function, Azure Databricks, Azure Data Factory, and PostgreSQL. Additionally, having experience in Azure DevOps and Git flow would be advantageous. Moreover, familiarity with AWS services like Kinesis, EMR, Glue, RDS, Athena, and RedShift is also desirable. Expertise in working with timeseries data and Industry 4.0 projects is essential, along with knowledge of Palantir. Your role will require strong problem-solving skills with an emphasis on sustainable development practices. Proficiency in Python/PySpark, Pandas, Numpy, seaborn/matplotlib, and Streamlit.io ...

Posted 3 months ago

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Data Analyst/Engineer I Capgemini Invent

6.0 - 10.0 years

0 Lacs

kolkata, west bengal

On-site

You must have knowledge in Azure Datalake, Azure function, Azure Databricks, Azure Data Factory, and PostgreSQL. Working knowledge in Azure DevOps and Git flow would be an added advantage. Alternatively, you should have working knowledge in AWS Kinesis, AWS EMR, AWS Glue, AWS RDS, AWS Athena, and AWS RedShift. Demonstrable expertise in working with timeseries data is essential. Experience in delivering data engineering/data science projects in Industry 4.0 is an added advantage. Knowledge of Palantir is required. You must possess strong problem-solving skills with a focus on sustainable and reusable development. Proficiency in using statistical computer languages like Python/PySpark, Pandas,...

Posted 5 months ago

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