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Data Engineer

4 weeks ago

Pune Division, India Atyeti Inc Full time

Atyeti is a Global Managed Service provider, winner of the Inc 500 Award for fastest growing IT companies, with offices in US, UK, Switzerland, Singapore, Hong Kong, Malaysia, and India. We own and execute end to end projects in the Investment Banking world with clients such as UBS, Citi, Bank Of America, HSBC to name a few, for more info visit


Skill Set: Python, Azure, Pyspark, Databricks


We are looking for a highly skilled Senior Data Engineer with expertise in Azure, PySpark, Databricks, and data engineering.

The ideal candidate will have experience in designing and implementing scalable data pipelines, working with large datasets, and collaborating with cross-functional teams. Key


Responsibilities:

1. Design, develop, and deploy scalable data pipelines using Azure Data Factory, PySpark, and Databricks

2. Work with large datasets, ensuring data quality, integrity, and security

3. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver insights

4. Develop and maintain data warehousing solutions, ensuring data is properly structured and accessible

5. Implement data governance policies, ensuring data compliance and security

6. Stay up to date with industry trends, emerging technologies, and best practices in data engineering


Requirements:

1. 5-7 years of experience in data engineering, with a focus on Azure, PySpark, and Databricks

2. Strong expertise in Azure Data Factory, PySpark, Databricks, SQL, and Python

3. Experience working with large datasets, ensuring data quality, integrity, and security

4. Strong understanding of data warehousing concepts, including data modelling, ETL, and data governance

5. Experience with cloud-based data platforms, such as Azure Synapse Analytics

6. Effective communication and collaboration skills, with experience working with cross functional teams

7. Bachelor’s degree in computer science, Engineering, or a related field