Job details
Job Description :Key Responsibilities :- Lead the end-to-end development lifecycle of data warehouse solutions, from requirements gathering and design to deployment and maintenance.- Design and optimize data models, ETL processes, and data integration strategies to ensure the reliability, scalability, and performance of the data warehouse.- Develop and maintain ETL scripts and workflows using industry-leading tools and technologies.- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.- Implement data quality and governance processes to ensure the accuracy and consistency of data stored in the warehouse.- Monitor and optimize data warehouse performance, identify bottlenecks, and implement solutions for improvement.-Provide technical leadership and mentorship to junior members of the data warehouse team.- Stay abreast of industry trends and best practices in data warehouse architecture, data management, and analytics.Qualifications :- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.- Minimum of 5 years of hands-on experience in data warehousing, with a strong focus on design, development, and implementation.- Proficiency in SQL and experience with database technologies such as Oracle, SQL Server, or PostgreSQL.- Extensive experience with ETL tools such as Informatica, Talend, or SSIS.- Solid understanding of data modeling concepts (dimensional modeling, star schema, snowflake schema, etc.- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into technical solutions.- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.- Experience with cloud-based data warehouse platforms (e., AWS Redshift, Google BigQuery, Snowflake) is a plus.- Relevant certifications (e., Certified Data Management Professional, AWS Certified Solutions Architect) are highly desirable (ref:hirist.tech)
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