
Lead Data Engineer
3 days ago
Key Responsibilities:
- Design and implement end-to-end data pipelines using
Snowflake
and
AWS
services (including
AWS Glue
,
S3
,
Redshift
, and more). - Develop and optimize
ETL processes
to ensure efficient data integration and transformation across various platforms. - Lead the development and maintenance of data models and data architectures to support analytics and business intelligence applications.
- Collaborate with cross-functional teams, including Data Scientists, Analysts, and other Engineers, to design solutions that meet business needs.
- Mentor and guide junior engineers, ensuring best practices in coding, architecture, and data management.
- Monitor, optimize, and troubleshoot data pipelines and ensure high availability and performance.
- Ensure data quality, security, and compliance with company standards and industry regulations.
- Stay updated with industry trends and emerging technologies to drive innovation within the team.
Required Skills & Qualifications:
- 6+ years of experience
as a Data Engineer or similar role, with a strong focus on
Snowflake development
and
AWS services
. - Expertise in
SQL
,
ETL development
, and data modeling techniques. - Hands-on experience with
AWS Glue
,
Redshift
,
S3
,
Lambda
, and other AWS data tools. - Strong proficiency in
Snowflake architecture
and development for data integration, transformation, and optimization. - Proven experience in building scalable, high-performance data pipelines.
- Strong understanding of data warehousing, data lakes, and cloud-based data architectures.
- Solid experience in debugging and optimizing complex data workflows.
- Ability to mentor and lead a team of engineers while adhering to best practices in data engineering.
-
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