Data Engineer

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Job Details
We are seeking an experienced Data Engineer to join our global IT D&A team at Cencora. The ideal candidate will be responsible for designing, building, and optimizing data pipelines on our Databricks platform, ensuring that our data is accessible, reliable, and scalable to meet the needs of various teams across Europe and the United States. This role is critical for enabling data-driven decision-making in a dynamic and fast-paced organization.
Responsibilities
Design and Implementation of Data Pipelines:

• Design, develop, and maintain robust and scalable data pipelines on Databricks using technologies like Apache Spark, Delta Lake, and cloud-based services.
• Ensure efficient integration and flow of data from multiple internal and external sources.

Data pipelines optimization:

• Optimize the performance and scalability of data pipelines.
• Configure and manage Databricks environments in collaboration with PE and DevOps teams.

Global Collaboration:

• Work closely with cross-functional teams across Europe and the United States to understand their data needs and translate them into effective technical solutions.
• Promote standardization in data usage and management across regions.

Data Quality and Security Assurance:

• Implement best practices for data quality, including validation, cleansing, and contiuous monitoring.
• Ensure compliance with international data protection regulations (e.g., GDPR in Europe)

Automation and Continuous Improvement:

• Automate data ingestion and transformation processes to improve efficiency and reduce errors.
• Identify and propose enhancements to existing systems and data engineering processes.

Documentation and Training:

• Document architectures, processes, and workflows related to the data platform.
• Collaborate in training internal teams on the proper use of data tools and resources.

Requirements
Education and Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience (3+ years) as a Data Engineer in multinational environments or global projects.

Technical Skills:

• Hands-on experience with the Databricks platform and related technologies such as Apache Spark and Delta Lake.
• Deep knowledge of relational and non-relational databases (SQL, NoSQL).
• Experience with cloud services (AWS, Azure, or Google Cloud).
• Proficiency in programming languages such as Python and/or Scala for data processing.
• Familiarity with workflow orchestration tools.
• Strong understanding of data modeling concepts and designing scalable data architectures.

Soft Skills:

• Excellent communication skills to collaborate effectively with multicultural and distributed teams in Europe and the United States.
• Proactive problem-solving skills and the ability to manage multiple priorities in a dynamic environment.
• Attention to detail and focus on delivering high-quality outputs.

What Cencora offers
Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.
Full time
Affiliated Companies
Affiliated Companies: Alliance Healthcare España S.A.
Equal Employment Opportunity
Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.
The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email [email protected]. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned