
Data Architect Lead
3 days ago
The role of Senior Data Engineer is a high-level position within our organization.
Key responsibilities for this role include leading data engineering initiatives, collaborating with cross-functional teams to drive business outcomes, and ensuring the effective design, development, and maintenance of large-scale data systems.
Required Skills and Qualifications- Minimum 6 years of experience in data engineering or a related field.
- Proven expertise in data pipeline, ETL, and workflow management tools, including Databricks and Azure Data Factory.
- Strong proficiency in programming languages such as SQL, Python, R, or Scala.
- Experience with database management, including MySQL, PostgreSQL, and SQL Server.
- Excellent problem-solving and analytical skills, with the ability to work independently and collaboratively.
- Strong understanding of data architecture, data modeling, and ETL processes.
- Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
- Experience with best practices in UX/UI design and development of Business Intelligence data visualization/exploration tools.
- Familiarity with SDLC and Agile methodologies, as well as DevOps tools and practices.
- Familiarity with Atlassian tools like Bitbucket, JIRA, and Confluence.
- Opportunity to work on complex and challenging projects that drive business growth and innovation.
- Collaborative and dynamic work environment that fosters learning and professional development.
- Competitive salary and benefits package.
- Opportunities for career advancement and growth.
- English language proficiency required.
- May require travel up to 20% of the time based on project locations.
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