Job Overview We are seeking an experienced Senior Data Engineer to join our team. This individual will play a pivotal role in building and maintaining scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. This is a unique opportunity to work with cross-functional teams to drive data reliability, quality, and performance while leveraging world-class people and data-driven strategy. Key Responsibilities - Migrate legacy data infrastructure ensuring performance, security, and scalability. - Develop and optimize data systems, pipelines, and analytical tools using a bronze-silver-gold architecture. - Create and configure Databricks notebooks and pipelines for data ingestion from on-premise and cloud environments adhering to native Databricks standards. - Collaborate with stakeholders to translate business needs into robust data solutions and communicate technical progress, risks, and recommendations effectively. - 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. Qualifications - Studies in computer science, engineering, or a related field. - Minimum 3 years of hands-on experience in data engineering with at least 2 years working with Azure or Databricks. - English language proficiency level B2 or higher. - 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. - Pyspark experience is highly desirable. Additional Benefits Our company offers: Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up-to-date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. Mentoring and Development: Career development plans and mentorship programs to help shape your path. Celebrations & Support: 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.