As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross -functional teams to understand data requirements and deliver effective solutions that meet business needs.<\/span><\/span><\/span><\/span> <\/div>
- Expected to be an SME.<\/span><\/span><\/span><\/span> <\/div>
- Collaborate and manage the team to perform.<\/span><\/span><\/span><\/span> <\/div>
- Responsible for team decisions.<\/span><\/span><\/span><\/span> <\/div>
- Engage with multiple teams and contribute on key decisions.<\/span><\/span><\/span><\/span> <\/div>
- Provide solutions to problems for their immediate team and across multiple teams.<\/span><\/span><\/span><\/span> <\/div>
- Mentor junior team members to enhance their skills and knowledge.<\/span><\/span><\/span><\/span> <\/div>
- Continuously evaluate and improve data processes to optimize performance.<\/span><\/span><\/span><\/span> <\/div>
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Professional & Technical Skills:<\/b><\/span><\/span><\/span><\/span> <\/div>
- Must To Have Skills: Proficiency in PySpark, Python (Programming Language), Microsoft SQL Server, Databricks Unified Data Analytics Platform.<\/span><\/span><\/span><\/span> <\/div>
- Strong experience in designing and implementing data pipelines.<\/span><\/span><\/span><\/span> <\/div>
- Proficient in data modeling and database design.<\/span><\/span><\/span><\/span> <\/div>
- Familiarity with cloud data platforms and services.<\/span><\/span><\/span><\/span> <\/div>
- Ability to troubleshoot and resolve data -related issues efficiently.<\/span><\/span><\/span><\/span> <\/div>