RESPONSIBIITIES

• Design, implement, and optimize complex data pipelines using advanced SQL, ETL tools, and integration technologies.

• Collaborate with cross-functional teams to implement optimal data solutions for advanced analytics and data science initiatives.

• Spearhead process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability.

• Evaluate and recommend emerging data technologies to build comprehensive data integration strategies.

• Lead technical discovery processes, defining complex requirements and mapping out detailed scenarios.

• Develop and maintain data governance policies and procedures.

QUALIFICATIONS
Required

• Bachelor's degree in Computer Science, Information Management, or related field

• At least 5 years of experience in data engineering or related roles.

• Advanced proficiency in multiple programming languages (e.g., Python, Java, Scala) and expert-level SQL knowledge.

• Extensive experience with big data technologies (Hadoop ecosystem, Spark, Kafka) and cloud-based environments (Azure, AWS, or GCP).

• Proven experience in designing and implementing large-scale data warehousing solutions.

• Deep understanding of data modeling techniques and enterprise-grade ETL tools.

• Demonstrated ability to solve complex analytical problems.

Preferred

• Experience in the healthcare industry, including clinical, financial, and operational data.

• Knowledge of machine learning and AI technologies and their data requirements.

• Familiarity with data visualization tools and real-time data processing.

• Understanding of data privacy regulations and experience implementing compliant solutions.