Key Responsibilities:

Lead and manage a team of data engineers, providing guidance, coaching, and mentorship to ensure their professional growth and development.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Develop and maintain our company's data infrastructure, including data pipelines, data warehouses, and data lakes.
Ensure the accuracy, validity, and security of our data systems by implementing data quality controls and monitoring processes.
Stay up-to-date with emerging technologies and industry best practices, and make recommendations for improvements to our data systems.
Work closely with data scientists to ensure the availability and accessibility of high-quality data for their analyses.
Manage and prioritize multiple projects, ensuring timely delivery and high-quality results.
Communicate effectively with stakeholders at all levels of the organization, providing regular updates on the status of data engineering projects.

Requirements:

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 5 years of experience in data engineering, with at least 2 years in a leadership or management role.
Strong technical skills in data modeling, ETL processes, and database design.
Proficient in SQL, Python, and other programming languages.
Experience working with big data technologies such as Hadoop, Spark, or Kafka.
Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud.
Strong understanding of data governance, data security, and data quality principles.
Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.
Proven track record of successfully managing and delivering complex data engineering projects.
Ability to think strategically and make data-driven decisions.
Experience in the healthcare or finance industry is a plus.

We offer a competitive salary, comprehensive benefits package, and opportunities for growth and advancement. Apply now and be part of our mission to leverage data to drive business success.

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