Years of experience - 9-15
Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh
Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
Hands-on experience using Databricks, Snowflake, PySpark, Python, SQL
Proven ability to lead and develop high-performing data engineering teams.
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.

Preferred Qualifications:

Experience in Integrating AI with Data Engineering and building AI ready data lakes
Prior experience in data modeling especially star-schema modeling concepts.
Familiarity with ontologies, information modeling, and graph databases.
Experience working with agile development methodologies such as Scaled Agile.
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.

Education and Professional Certifications

Data Engineer