Assistant Manager, Data Engineering

5 - 9 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

The SQL Developer, Financial Planning is responsible for developing and maintaining the financial analytics datamart for the organization. This role offers the opportunity to work directly with the Finance leadership team on key strategic initiatives, be involved in financial planning and analysis operations, and collaborate with skilled professionals from diverse backgrounds while supporting multiple stakeholders. Reporting to the Sr Manager, FP&A, the SQL Developer will be dedicated to developing and ensuring alignment of all models and analytics with direct financial impact on the organization. The role involves managing the development and oversight of the analytics datamart within Finance and partnering with teams outside of Finance responsible for analytics systems affecting their business unit or department. Key Responsibilities: - Develop and maintain the analytics datamart to meet the needs of the Finance group. - Create and validate data used for analytics, develop and maintain automated DataMart processes, and ensure data and metric accuracy. - Contribute to multiple projects through collaboration with various departments, identifying and implementing process improvements and efficiencies. - Provide the highest level of internal and external customer service. - Participate in gathering and understanding requirements, documenting existing and new processes. Qualifications: - Minimum of 5 years of relevant experience in SQL (T-SQL/PL SQL) with an understanding of data lineage and governance, developing SQL stored procedures, and ETL solutions. - In-depth understanding of RDBMS concepts, proficiency in developing SSIS / ETL packages, and working with MS SQL Server. - Knowledge of Hyperion is a plus. - Bachelor's degree in engineering or technology or equivalent experience. - Ability to work effectively with teams across locations and time zones, demonstrating strong analytical ability, understanding of data lineage and process dependencies, and advanced proficiency with SQL. - Strong written and verbal communication skills, competencies in problem-solving, creativity, organizational skills, good judgment, and execution within a fast-paced environment. Work Schedule Or Travel Requirements: - Late Shift,

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