Databricks

7 - 11 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior Developer with 7 to 10 years of experience, your role at our company will involve utilizing your expertise in various technologies such as Databricks Unity Catalog, Azure Data Lake Store, Azure DevOps, Python, Databricks SQL, Databricks Workflows, and PySpark. Your responsibilities will include: - Developing and maintaining scalable data solutions using Databricks Unity Catalog and Azure Data Lake Store to enhance data accessibility and security. - Collaborating with cross-functional teams to integrate Azure DevOps into the development lifecycle ensuring seamless deployment and continuous integration. - Utilizing Python and PySpark to design and implement efficient data processing pipelines optimizing performance and reliability. - Creating and managing Databricks SQL queries to extract transform and load data supporting business intelligence and analytics initiatives. - Overseeing the execution of Databricks Workflows ensuring timely and accurate data processing to meet project deadlines. - Providing technical expertise and support to team members fostering a collaborative and innovative work environment. - Analyzing complex data sets to identify trends and insights contributing to data-driven decision-making processes. - Ensuring data quality and integrity by implementing robust validation and error-handling mechanisms. - Staying updated with the latest industry trends and technologies applying new knowledge to improve existing systems and processes. - Collaborating with stakeholders to understand business requirements and translate them into technical specifications. - Documenting technical designs, processes, and procedures to facilitate knowledge sharing and future reference. - Supporting the development of data management strategies aligning with organizational goals and objectives. - Contributing to the continuous improvement of development practices enhancing efficiency and effectiveness. Qualifications: - Demonstrate proficiency in Databricks Unity Catalog, Azure Data Lake Store, and Azure DevOps. - Exhibit strong programming skills in Python and PySpark for data processing and analysis. - Possess experience in Databricks SQL and Workflows for data management and analytics. - Have a background in Data Management, Hedge Fund Accounting, or Account Management is a plus. - Show ability to work in a hybrid model with excellent communication and collaboration skills. Certifications Required: - Databricks Certified Data Engineer Associate - Microsoft Certified: Azure Data Engineer Associate Thank you for considering this exciting opportunity with our team.,

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