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Lead Data Engineer (#2173)

Lead Data Engineer (#2173)

1 Month ago • 6 Years + • Data Analyst • Undisclosed

About the job

3 skills required for this role

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azure

communication

cross-functional

Job Description

Lead Data Engineer specializing in Databricks for a significant data transformation program. Key responsibilities include collaborating with cross-functional teams to define data architectures, data models, and integration strategies; designing and implementing data pipelines and lakehouse solutions; building scalable pipelines for analytics; developing and optimizing data models; automating processes; collaborating with partners to ensure data quality; and building solutions following best practices. The role requires expertise in Azure and Databricks, a strong understanding of data lakehouse concepts, and experience with performance tuning and optimization. Excellent communication skills are essential.

Must have:

6+ years Data Engineering experience
Azure & Databricks expertise
Azure Databricks certification
Data lakehouse knowledge
Data pipeline optimization
Excellent communication skills

Good to have:

Azure certifications
Innovative mindset

Perks:

Flexible working format
Competitive salary
Personalized career growth
Professional development tools
Education reimbursement
Corporate events

We are seeking a forward-thinking and highly skilled Lead Data Engineer specializing in Databricks to help with the engineering side of a significant data transformation program for our customer.

Key Responsibilities:

Work closely with cross-functional teams to grasp business requirements and architect scalable, efficient data solutions
Define data architectures, data models, and data integration strategies aligned with business goals
Work with the design and implementation of data pipelines and data lakehouse solutions
Build scalable data pipelines for analytics use cases
Develop and optimize technical and physical data models
Automate processes and optimize infrastructure
Collaborate with technology partners to ensure high data quality
Build data solutions following best practices
Transform delivery work into reusable solutions

Skills and Requirements:

6+ years of experience in Data Engineering, with a strong emphasis on architecture
Proven expertise in Azure and Databricks technologies
Azure Databricks certification is a must
In-depth knowledge of data lakehouse concepts, data management processes, and data integration techniques
Experience with performance tuning and optimization of data pipelines
Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment
Excellent communication skills for conveying technical concepts to non-technical stakeholders
Certifications in relevant technologies (e.g., Azure) would be a plus
Innovative mindset with a constant eye on improving the productivity of data engineering work

We offer:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

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