Position Summary:
We are seeking a highly motivated Application Developer with strong expertise in Snowflake, Databricks, Python, and SQL to design, develop, and support scalable data and analytics solutions. The ideal candidate will have experience building data pipelines, optimizing large-scale data processing workloads, and developing cloud-native applications that support business-critical reporting, analytics, and operational processes.

Key Responsibilities:
Design, develop, and maintain scalable data solutions using Snowflake and Databricks.
Build and optimize ETL/ELT pipelines for structured and unstructured data processing.
Develop high-quality Python applications, automation scripts, APIs, and data integration services.
Write complex SQL queries, stored procedures, views, and performance-tuned data transformations.
Implement data models, data quality controls, validation frameworks, and reconciliation processes.
Collaborate with business analysts, data engineers, architects, and application teams to deliver end-to-end solutions.
Monitor, troubleshoot, and optimize data pipelines and application performance.
Support CI/CD deployments, testing, release management, and production support activities.
Ensure solutions meet security, governance, audit, and regulatory requirements.
Contribute to cloud modernization initiatives and data platform enhancements.

Required Skills & Qualifications:
Technical Skills:
Strong experience with Snowflake Data Cloud.
Hands-on experience with Databricks and Apache Spark.
Advanced Python programming skills (Pandas, Pyspark, NumPy, REST APIs).
Expert-level SQL development and query optimization.
Experience building ETL/ELT solutions and data pipelines.
Good understanding of data warehousing, dimensional modeling, and data lake architecture.
Experience with cloud platforms such as Azure, AWS, or GCP.
Knowledge of Git, CI/CD pipelines, and Agile development practices.
Experience troubleshooting performance issues across databases and distributed environments.

Preferred Skills:
Experience with Snowpark, Cortex AI, or Databricks AI capabilities.
Knowledge of orchestration tools such as Airflow or Azure Data Factory.
Familiarity with Kafka, streaming data, or event-driven architectures.
Experience with Power BI, Tableau, or other analytics/reporting platforms.
Understanding of financial services or enterprise data platforms.

Experience:
5+ years of software/application development experience.
3+ years of experience with Snowflake and cloud-based data platforms.
2+ years of hands-on Databricks/Spark development experience.
Proven track record delivering large-scale data and analytics solutions.

Key Competencies:
Strong problem-solving and analytical skills.
Excellent communication and stakeholder management abilities.
Passion for automation, performance optimization, and continuous improvement.

The base compensation range for this role in the posted location is: 80,000 - 90,909.

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