Role Overview:This Lead Data Engineer role focuses on designing, building, and optimizing scalable data pipelines. The position involves utilizing modern ELT and traditional ETL approaches with technologies such as DBT, Snowflake, and IBM DataStage. The successful candidate will lead data architecture initiatives, ensure high data quality, and drive performance optimization, while also mentoring team members. Collaboration with stakeholders is key to delivering reliable, high-performance data solutions for analytics and business needs.
Key Responsibilities:- Lead the design and implementation of robust data architectures.
- Ensure the integrity and quality of data across all pipelines.
- Drive performance optimization for data solutions.
- Mentor and guide junior data engineering team members.
- Collaborate with various stakeholders to deliver reliable and high-performance data solutions.
- Develop and optimize scalable data pipelines using DBT, Snowflake, and IBM DataStage.
Required Skills:- dbt
- Snowflake
- Unix
- SQL
- Datastage
Qualifications:- 6-8 years of experience in data engineering.
Preferred Skills: 
