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Mid LevelFull-timePythonRustAzureData
Salary Range
MX$1 - MX$1 /month
About the Role
We are seeking a Data Engineering Team Lead to provide leadership and technical expertise to our data engineering team. This role involves mentoring team members, setting clear goals, and ensuring successful project delivery while staying updated with the latest advancements in data engineering.
Key Responsibilities
- →Provide leadership and guidance to the data engineering team, including mentoring and coaching
- →Set clear goals, assign tasks, and manage resources for successful project delivery
- →Work closely with developers to support them and improve data engineering processes
- →Support team members with troubleshooting and resolving complex technical issues
- →Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools and technologies
- →Collaborate with stakeholders to understand project requirements and define scope
- →Support project managers to ensure projects meet timelines, budgets, and quality standards
- →Act as a trusted advisor for customers
- →Oversee the design and architecture of data solutions, ensuring they are scalable and aligned with business requirements
- →Align coding standards and conduct code reviews for proper code quality
- →Identify and introduce quality assurance processes for data pipelines and workflows
- →Optimize data processing and storage for performance, efficiency, and cost savings
- →Evaluate and implement new technologies to improve data engineering processes
- →Act as the main point of contact for other teams engaged in the project
- →Maintain technical documentation of the project and ensure compliance with security standards
Requirements
- ✓Bachelor's or master’s degree in computer science, Information Systems, or a related field
- ✓Minimum of 6+ years of experience in data engineering or a related field
- ✓Strong technical skills in data engineering, including proficiency in Python, SQL, and Pyspark
- ✓Experience with profiling tools such as Pandas
- ✓Familiarity with Azure cloud platform, including Azure Databricks, Data Factory, Data Lake, and Azure SQL
- ✓Expertise in working with ETL frameworks, data pipelines, and data warehousing solutions
- ✓Proven experience in leading and managing a team of data engineers
- ✓In-depth knowledge of data management principles, including data governance, data quality, and data integration
- ✓Strong project management skills with the ability to prioritize tasks and manage timelines
- ✓Excellent problem-solving and analytical skills
- ✓Knowledge of data security and privacy regulations
- ✓Excellent communication and interpersonal skills
- ✓Continuous learning mindset, staying updated with the latest advancements in data engineering
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