Join Our Data Engineering Team We're seeking a seasoned Senior Data Engineer to lead our data infrastructure projects and collaborate with cross-functional teams to drive data reliability, quality, and performance. - Migrate legacy data infrastructure while ensuring performance, security, and scalability. - Build and optimize data systems, pipelines, and analytical tools, leveraging a bronze-silver-gold architecture. - Develop and configure Databricks notebooks and pipelines for ingestion of data from both on-premise and cloud environments, following native Databricks standards. - Collaborate with stakeholders to translate business needs into robust data solutions, and effectively communicate technical progress, risks, and recommendations. - Implement strong data governance and access control mechanisms to ensure data quality, security, and compliance. - Conduct advanced data analysis to support decision-making and reporting needs. - Apply QA testing practices within data workflows, particularly in healthcare environments. - Drive initiatives in Data Discovery, Data Lineage, and Data Quality across the organization. Requirements - Studies in computer science, engineering, or a related field. - 3+ years of hands-on experience in data engineering, with at least 2 years working with Azure or Databricks. - Experience working with Azure Cloud, CI/CD pipelines, and Agile methodologies. - Proficiency in developing and managing Databricks notebooks and implementing data engineering frameworks. - Strong programming skills in Python for data processing and automation. - Advanced proficiency in SQL for querying and transforming large datasets. - Solid understanding of data modeling, warehousing, and performance optimization techniques. - Proven experience in data cataloging and inventorying large-scale datasets. What We Offer - Learning Opportunities: Certifications in AWS, Databricks, and Snowflake. - Career Development Plans and Mentorship Programs to help shape your path. - Special Day Rewards to celebrate birthdays, work anniversaries, and other personal milestones. - Company-provided equipment. - Flexible working options to help you strike the right balance. About the Role This is a mid-senior level full-time position. You will be part of a dynamic team working on various data engineering projects, collaborating with cross-functional teams to drive business success. This role offers an exciting opportunity to leverage your expertise in data engineering, working with cutting-edge technologies such as Azure, Databricks, and Python.