Lead Data Engineer
Years of Experience: 8-10 Years
Job Summary: We are seeking a highly skilled Senior Data Engineer with extensive experience in data analysis, architecture, and strategy. The ideal candidate will have a strong background in designing databases, data warehouses, and data products, with a proven ability to lead teams and communicate effectively with both technical and non-technical stakeholders. This role requires a deep understanding of Snowflake and other data technologies to optimize performance and ensure best practices are followed.
Responsibilities:
- Provide technical and architectural guidance to the team, enforcing processes and best practices.
- Optimize database queries and indexing strategies to enhance performance across various platforms.
- Communicate complex design concepts to a diverse audience, including technical teams and non-technical stakeholders.
- Collaborate with cross-functional teams to develop data strategies that support organizational objectives.
- Mentor and train team members on data technologies and architectural principles.
Mandatory Skills:
- Expertise in Snowflake as a primary data warehousing solution.
- Proficient in Azure Data Factory (ADF) for data integration and workflow management.
- Strong SQL skills with experience in SQL Server (T-SQL) and Mysql.
- Experience in performance optimization of database queries and indexing.
- Excellent communication skills, with the ability to convey technical information to a broader audience.
Preferred Skills:
- Experience with SSIS or Pentaho for ETL processes.
- Familiarity with data visualization tools such as Power BI or Tableau.
- Knowledge of Python for data manipulation and analysis.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 8-10 years of experience in data architecture, data analysis, and database design.
- Proven leadership experience in managing technical teams and projects.
- Strong problem-solving skills and attention to detail.
