Databricks Engineer

Visa not allowed.

• CPT EAD
• Stem - OPT
• OPT EAD
• FTE to Subco conversion - 6 months cooling period we need to follow or get approval.

• Atos has stringent compliance and security requirements that all employees are expected to adhere to.
• Inform the candidate that they must not have any other part-time or full-time employment while working with Atos on this assignment.
• Obtain explicit confirmation from the candidate that they understand and are comfortable with these requirements and the expected work arrangement before proceeding further.

Client Name - AMEX


Glow - 3ET0JY


Posman - 134667


Role / Skills - Databricks Engineer


Rate - USD $52


Location - Pheonix - Day 1 Onsite - min 3 days a week.


JD - Confirm / share us the complete JD and lets us know if anything specific:

Databricks Engineer

Role Overview


We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.


Key Responsibilities

• Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
• Lead implementation of:
• Cloud-based data lakehouse platforms integrating diverse data sources.
• Real-time data processing pipelines for operational and analytical use cases.
• Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
• Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
• Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
• Establish data quality frameworks and governance standards.
• Implement and manage Unity Catalog, including fine-grained security and access controls.
• Leverage Databricks components such as:
• Delta Live Tables
• Autoloader
• Structured Streaming
• Databricks Workflows
• Integration with orchestration tools (e.g., Apache Airflow)
• Drive CI/CD automation, deployment strategies, and DevOps best practices.
• Optimize performance of pipelines, Spark jobs, and compute resources.
• Provide architectural guidance and technical leadership across cross-functional teams.
• Engage with stakeholders and clients to translate business requirements into scalable technical solutions.

Deep expertise in :

• Databricks and cloud-native storage/compute platforms
• Apache Spark (batch & streaming)
• Delta Lake & Lakehouse architecture
• Distributed data processing systems
• Strong hands-on programming skills in Python, PySpark, Scala, and SQL.