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Senior Recruiter- Pharma/Medical Devices/Engineering/Healthcare
Duration: ASAP to year end (Hybrid role)
Location: Limerick, Ireland
Client notes:
Data Engineer. ASAP to year end. Hybrid role. BYOD.
Moving MES systems onto cloud.
Deployed onto Azure and rolling out across multiple sites.
Required: Azure / Data Bricks Useful: AWS, devops or automation mindset. Experience with data pipelines at scale. Regulated environment experience. Experience working with vendors, driving work in an innovative way
Job Summary:
We are seeking a motivated and skilled Data Engineer with expertise in Databricks to join our Next Gen MES team in Limerick, Ireland. The ideal candidate will have hands-on experience in building and optimizing data pipelines, ensuring data quality, and leveraging Databricks to facilitate data integration and analytics. This role requires a strong understanding of ETL processes, data architecture, and a commitment to delivering high-quality data solutions.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
• Collaborate with data analysts and data scientists to understand data needs and provide appropriate data solutions.
• Optimize existing ETL processes to enhance performance and efficiency.
• Ensure data quality by implementing validation and testing procedures.
• Work with Big Data technologies and frameworks to manage large datasets.
• Assist in data modeling and design of data warehouses to support business intelligence initiatives.
• Monitor and troubleshoot data pipeline performance issues.
• Participate in code reviews and contribute to best practices and standards in data engineering.
• Document data processes, architecture, and workflows for knowledge sharing across the team.
• Stay updated with industry trends and emerging technologies related to data engineering.
• Drive innovation in this area of data engineering.
• Strong communication and collaboration skills to work effectively in a team environment.
Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Experience with cloud platforms, ideally Azure, AWS also suitable.
• 3+ years of experience in data engineering or a related role.
• Strong proficiency in Databricks and Apache Spark for processing large datasets.
• Proficient in SQL and scripting languages (e.g., Python, Scala).
• Familiarity with data modeling concepts, ETL tools, and data warehousing solutions.
• Knowledge of data governance and data quality principles.
• Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
• Experience with machine learning concepts and data science frameworks.
• Understanding of modern data architectures and data lake concepts.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Contract
Job function
* Job function
Engineering and Other
* Industries
IT Services and IT Consulting and Pharmaceutical Manufacturing
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