Team Lead (Data Engineering)
New
D
DAS42Data Consultancy
Remote - USFull-TimeLead
Salary115000 - 145000 USD per year
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Job Details
- Experience
- 5 to 8 years of work experience in data analytics or data engineering. Minimum of 1 year leading projects
- Required Skills
- AWSPythonSQLGCPGitMicrosoft Power BISnowflakeJiraTableauAsanaBigQueryRedshiftLookerGitHub
Requirements
- 5 to 8 years of work experience in data analytics or data engineering.
- Minimum of 1 year leading projects, formally or informally.
- Experience managing internal employees, ideally with formal direct reports.
- Exposure to developer tools/workflow (e.g., git/github, SSH) and command line environments.
- Familiarity with project management tools (e.g., Basecamp, JIRA, ASANA).
- Experience with the AWS, Google Cloud ecosystem (BigQuery, Redshift).
- Proficiency with business visualization tools (e.g., Looker, Tableau, Microsoft PowerBI).
- Experience with data warehousing and using Snowflake.
- Experience optimizing database/query performance.
- Proficiency with Python and advanced SQL.
- Bachelor's or Master’s degree in a quantitative or technical field (preferred).
- Experience in consulting/services organizations (preferred).
- Experience with Media & Entertainment or Telecom companies (preferred).
Responsibilities
- Guide clients on optimizing their data environment for maximum efficiency.
- Develop system engineering, integrations, and architectures based on client needs.
- Implement and advise on data warehouse solutions, ETL pipelines, and BI reporting tools.
- Develop data models to capture client's KPIs and data transformations; validate and test data models.
- Teach technical data modeling concepts to various audiences, including developers and IT professionals.
- Manage technical teams of up to 4-6 people, delegating work across engagements.
- Assign staff with appropriate skill sets to projects in conjunction with the project manager.
- Work within a project management framework to meet objectives and understand the impact of your work.
- Collaborate with Sales and Marketing teams to develop Thought Leadership and support sales efforts.
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