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Sr AWS Databricks Data Engineer - ISELIN NJ - Hybrid

Salary undisclosed

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Sr AWS Databricks Data Engineer

ISELIN NJ - Hybrid

8+ 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 solutions using Databricks

Experience in Insurance (P&C) is good to have

Programming Languages SQL, Python

Technologies Databricks, Delta Lake storage, Spark (PySpark, Spark SQL).

Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure DevOps

Project Management using Agile, Scrum

B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering, or other science field), Information Systems, Information Processing, or engineering.

Excellent communication & leadership skills, with the ability to lead and motivate team members

Ability to work independently with some level of ambiguity and juggle multiple demands

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

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Sr AWS Databricks Data Engineer1DatabricksN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Seasonal,Contract,Permanent Full Time,Contract Only,Hourly,Salaried,Full Time W2,SubCon/C2C,SOLUTIONS,Contract to Perm,Sub-conUnited States
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