Architect at QBrainX — Tamil Nadu, IND | Base Career | Base Career
Architect
Senior · 5+ years experience PythonJavaScalaAzureSnowflakeAzure Data Factory
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Key skills for this role
PythonJavaScala
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PythonJavaScalaAzureSnowflakeAzure Data Factory
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Data Engineering Lead & Architect Key Responsibilities
- Lead and mentor a team of data engineers, providing guidance, support, and professional development opportunities.
- Develop and implement data engineering strategies that align with the organization’s goals and objectives.
- Collaborate with cross-functional teams including data science, analytics, and IT to drive data initiatives.
- Design and architect scalable, robust, and secure data pipelines and infrastructure.
- Evaluate and select appropriate data technologies and tools to meet the needs of various projects.
- Ensure data architecture is optimized for performance, scalability, and reliability.
- Oversee data integration, transformation, and loading processes to ensure data accuracy and consistency.
- Implement data governance policies and best practices to maintain data quality and security.
- Monitor and optimize data storage solutions for efficiency and cost-effectiveness.
- Lead data engineering projects from inception to completion, ensuring timely delivery and high quality.
- Manage project timelines, resources, and budgets effectively.
- Communicate project status, risks, and issues to stakeholders.
- Stay current with industry trends and emerging technologies in data engineering and architecture.
- Identify opportunities for process improvements and implement innovative solutions.
- Foster a culture of continuous learning and development within the data engineering team.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in data engineering, with a focus on architecture and leadership roles.
- Proven experience with data modeling, ETL processes, and data warehousing solutions.
- Strong proficiency in programming languages such as Python, Java, or Scala.
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Extensive experience with cloud platforms, particularly Azure.Expertise with cloud-based data warehouses, especially Snowflake.Proficiency in using Azure Data Factory (ADF) and Azure Databricks (ADB).In-depth knowledge of database systems, both SQL and NoSQL.Excellent problem-solving skills and the ability to troubleshoot complex data issues.Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.Autofill Plugin
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