Pyspark Data Engineer with Databricks

We are looking for a hands-on mid-senior level PySpark Data Engineer with Databricks who can design, build, and own production-grade data pipelines and platform components. This role requires strong expertise in Python/PySpark, Databricks, and Snowflake, with a focus on building scalable, cost-efficient, and reliable data systems that support both analytics and machine learning use cases., * Design, develop, and maintain end-to-end ETL/ELT pipelines using Python and PySpark on Databricks.

• Optimize Spark jobs for performance, scalability, and cost-efficiency in production environments.
• Implement data quality frameworks including validation, reconciliation, and anomaly detection.
• Build and manage orchestration workflows (Airflow / Databricks Workflows / equivalent).
• Implement pipeline monitoring, logging, alerting, and observability for reliable operations.
• Develop and operationalize ML workflows using MLflow (experiment tracking, model registry, packaging, deployment).
• Build scalable data ingestion and data modeling solutions for analytics and ML use cases.
• Collaborate with data scientists, platform teams, engineering stakeholders, and business partners.

• 8+ years of experience in data engineering with strong hands-on work in PySpark and Python.
• Deep experience with Databricks, Spark optimization, cluster tuning, and performance troubleshooting.
• Strong experience working with Snowflake or similar cloud data warehouses.
• Practical knowledge of workflow orchestration tools and dependency management.
• Solid understanding of data modeling, ingestion frameworks, and distributed systems architecture.
• Hands-on experience implementing CI/CD for data and ML pipelines.
• Strong experience with MLflow for managing the ML lifecycle.
• Excellent communication skills with the ability to work across engineering and business teams. Desired Skills

The base compensation range for this role in the posted location is: 90000-110000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

• Life and disability insurance

• Employee assistance programs

• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.