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āļāļąāļāļĐāļ°:
Big Data, Data Warehousing, ETL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design end-to-end big data architectures and solutions on cloud platforms (e.g., Azure, GCP) to meet business requirements and scalability needs.
- Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand data-related needs and translate them into technical solutions.
- Provide expert guidance and consultation to clients on best practices in cloud data architecture, data integration, data warehousing, and data governance.
- Lead the planning, design, and implementation of data pipelines, ETL processes, and data lakes, ensuring optimal data quality, security, and performance.
- Evaluate and select appropriate technologies, tools, and frameworks to optimize data processing and analysis in a cloud environment.
- Conduct performance tuning and optimization of big data solutions to ensure high-speed data processing and real-time analytics.
- Stay up-to-date with industry trends, emerging technologies, and best practices in cloud computing and big data to continuously enhance the organization's data architecture capabilities.
- Mentor and guide junior team members, fostering skill development and knowledge sharing within the team.
- Collaborate with sales and business development teams to assist in pre-sales activities, such as solution architecture design, proposal development, and client presentations.
- Provide thought leadership through presentations, workshops, and industry conferences.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
- Minimum of 5 years of experience in designing and implementing big data solutions with a focus on cloud data architecture.
- Proven experience with cloud platforms such as Azure, or GCP, including services like Azure Data Lake, Big Query etc.
- Strong proficiency in programming languages such as Python, Java, Scala, or similar languages for data processing and manipulation.
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