Data Engineer( Johnson & Johnson )

Компания "Johnson & Johnson"

Job Description: We are seeking a talented and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in software development, data engineering, and cloud technologies. You will play a crucial role in developing and implementing and ongoing adoption of our Data Lakehouse architecture, ensuring high availability, scalability, and performance – based on the requirements road-mapped through Business Analysis . This role will work under a local Russia based leader, and cooperate with colleagues covering Full Stack Engineering and Reliability Engineering - also as part of the broader EMEA and Global Chapters.

Key Responsibilities:

• Design, develop, and maintain software solutions for the Data Lakehouse architecture.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Implement data ingestion, transformation, and storage processes using tools equivalent to Apache Airflow, Trino, and dbt.
• Ensure data quality and integrity through rigorous testing and validation, utilising Intelligent Automation principles for development, testing and release.
• Monitor system performance and troubleshoot issues to ensure optimal operation in line with expected SLAs
• Participate in code reviews and contribute to continuous improvement initiatives, working with and guiding third party vendors.
• Stay up-to-date with emerging technologies and industry trends, and applying this to the Russia ecosystems.
• Adhere to and leverage best practices as applicable from the Global Data Engineering Chapter, ensuring relevance to the local Russia market.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in software development, with a focus on and data engineering and cloud technologies. Including Yandex, AWS, Azure.
• Proficiency in programming languages such as Python, Java, SQL or Scala.
• Experience with data processing frameworks such as Apache Airflow, Trino, and dbt.
• Familiarity with cloud platforms, preferably Yandex Cloud.
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• English - Fluent

Preferred Qualifications:

• Experience with container orchestration platforms such as Kubernetes.
• Knowledge of data storage formats like Apache Iceberg.
• Familiarity with monitoring tools such as Grafana.
• Understanding of data protection regulations and compliance requirements for the Russia market.

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