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Data Engineering Team Lead
2 months ago
McLane Intelligent Solutions is seeking a highly skilled Data Engineer Supervisor to lead our data engineering team. This role requires a unique blend of technical expertise and leadership skills to design, develop, and implement robust data systems and processes.
Key Responsibilities- Team Leadership: Lead the data engineering team in designing, developing, and maintaining data pipelines and architectures.
- Data Requirements: Collaborate with stakeholders across the business to collect and define data requirements.
- Data Quality: Ensure data quality and consistency across data systems.
- Workflow Optimization: Monitor and optimize data workflows to improve efficiency and scalability.
- Team Development: Mentor and guide team members to enhance their technical skills and career development.
- Integration: Oversee the integration of new data sources and systems with existing infrastructure.
- Best Practices: Implement best practices for data management and governance.
- Data Support: Work closely with data analysts and scientists to support their data needs.
- Industry Trends: Stay current with emerging trends in data engineering and related technologies.
- Education: A Bachelor's degree in Computer Science, Information Technology, or a closely related field (Master's degree is preferred).
- Experience: Demonstrated experience as a Data Engineer or in a comparable position focused on data architecture and management.
- Programming Skills: High proficiency in programming languages such as Python and Java.
- ETL Tools: Experience with ETL tools and data pipeline architectures.
- Data Warehousing: Familiarity with data warehousing technologies (e.g., Redshift, Snowflake, BigQuery).
- Database Systems: Knowledge of database systems (e.g., SQL, NoSQL) and data modeling techniques.
- Power BI and Azure: Experience with Power BI and Microsoft Azure (including Data Lake).
- Leadership: Proven track record in team leadership and management.
- Analytical Skills: Strong analytical abilities and problem-solving skills.
- Communication: Exceptional communication and interpersonal abilities.
- Teamwork: Capability to work effectively across teams and departments.
- Cloud Platforms: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is advantageous.
- Data Governance: Understanding of data governance, data privacy, and compliance regulations.
- Competitive Salary: Competitive base salary.
- Comprehensive Benefits: Comprehensive benefits package including health insurance, retirement plans, and paid time off.
- Ongoing Training: Ongoing training and professional development opportunities.
- Collaborative Environment: Fast-paced and collaborative work environment with opportunities for career advancement.
