Databricks Data Engineer

OpenTalent; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

OpenTalent is seeking a Databricks Data Engineer to lead the design and implementation of data systems using Databricks. You will work with clients to tailor architectures, develop robust pipelines, and drive best practices across ETL processes and deployments.

The role requires strong knowledge of Databricks, Spark, Snowflake, and cloud platforms, with experience in delivering scalable, fault-tolerant data solutions in an Agile environment.

Qualifications

• 5+ years of experience in architecture, design, and implementation using Databricks.
• Experience designing and implementing scalable, fault-tolerant data systems.
• Deep understanding of Databricks, Spark, and Snowflake.
• Experience deploying Databricks on cloud platforms with advanced configurations.
• Knowledge of Spark internals and Databricks runtime.

Responsibilities

• Lead and/or assist in designing and developing data systems tailored to client requirements.
• Design and implement Databricks-based solutions focusing on distributed processing and optimization.
• Engage with clients to evaluate needs and craft bespoke solution architectures.
• Develop architecture roadmaps integrating business processes and technologies.
• Define and enforce coding standards for ETL processes and ensure maintainability.

Skills

Databricks

Spark

Snowflake

Cloud platforms

CI/CD

Agile/Scrum

Distributed processing

Tools

Databricks notebooks

CI/CD pipelines

Job description

OUR CLIENT

Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

ROLE

We are seeking a Databricks Data Engineer.

RESPONSIBILITIES:

• Lead and/or assist in designing and developing data systems, tailoring solutions to meet client-specific requirements
• Design and implement databricks-based solutions with a focus on distributed data processing, data partitioning and optimization for parallelism
• Engage with client to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendations
• Develop comprehensive architecture solution roadmaps integrating client business processes and technologies
• Define and enforce coding standards for ETL processes, ensuring maintainability, reusability, and adherence to best practices
• Architect and implement CI/CD pipelines for Databricks notebooks and jobs, ensuring testing, versioning, and deployment
• Disaster recovery strategies for Databricks environments, ensuring data resilience and minimal downtime in case of failure
• Innovate and expand solution offerings to address data challenges
• Advise stakeholders on data cloud platform architecture optimization, focusing on performance
• Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
• Integrate data across different systems and platforms
• Strong verbal and written communication skills to manage client discussions

CANDIDATE PROFILE

• 5+ years experience in architecture, design, and implementation using Databricks
• Experience in designing and implementing scalable, fault-tolerant systems
• Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake
• Demonstrated experience with the deployment of Databricks on cloud platforms, including advanced configurations
• In-depth knowledge of spark internals, catalyst optimization, and Databricks runtime environment
• Must have experience in implementing sol