Lead Databricks Engineer

Job Description -

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Databricks certified consultant

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Lead Databricks Engineer

5 yrs. data bricks experience and need strong lead experience

Onsite Cincinnati, OH

Total yrs. of exp 15

Job Description

We are seeking a Lead Databricks Engineer who need to join our dynamic and fast-paced team. The ideal candidate should excel in development or pipeline, orchestrating data, resolving connection issue, solve production issues, guide team members. The successful candidate will play a critical role in leading the development and design of Supply Chain Data Engineering solutions, maintaining high standards of code quality, and reducing technical debt and vulnerabilities across the project. The ideal candidate should be able to work in shared service team and work in multiple initiatives parallelly.

Required Skills:

Technical skill: Azure, Databricks, PySpark, Object Oriented programming concept, Python, Delta share and Terraform

GitHub Actions: Familiarity with setting up and managing CI/CD pipelines using GitHub Actions, ensuring smooth and automated deployment processes.

Agile Methodology: Experience working in an Agile/Scrum environment, with a focus on iterative development, continuous feedback, and delivery.

Qualifications:

Proven experience in a similar role, with a strong track record as Sr. Data Engineer and has helped/lead development teams in delivering high-quality data orchestration solutions with min 15 years experience.

1.Python Unit Testing

2.Unity Catalog

3.Databricks Asset Bundles

4.Unit Testing/Mocking

Key Responsibilities

Development: - Working with varied data file formats (Avro, json, csv) using PySpark for ingesting and transformation, Terraform scripting and DevOps process.

Lead Development Initiatives: Develop code with FTR and of quality. Also to take ownership of different development initiatives, ensuring timely delivery while meeting or exceeding quality standards.

Code Quality and Maintenance: Oversee the maintenance of code quality and enforce best practices, including code reviews, unit testing, CICD, and adherence to coding standards.

Reduce Technical Debt: Identify, prioritize, and implement strategies to reduce technical debt and address vulnerabilities in the codebase.

Team Leadership: Provide mentorship and guidance to team members, fostering a collaborative, innovative, and high-performance environment.

Collaboration: Work closely with cross-functional teams, including product management, Cloud Security, LOB, Network security, and DevOps, to integrate different features into broader solutions.

Problem Solving: Address and troubleshoot complex technical issues, providing solutions that enhance system performance and user experience.

Documentation: Ensure comprehensive documentation of systems, processes, and code to facilitate knowledge sharing and maintenance.

Stakeholder Communication: Communicate progress, challenges, and solutions to stakeholders, ensuring transparency and alignment with business objectives.

Top 3 -

Azure Cloud Experience - Must have

Data Bricks

Pyspark, Python

Other important Info:

Object oriented programming concepts

Passion for Data/Data Engineering as a career

Teraform related work experience