- 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
- SAFe for Teams certification (preferred)
- Databricks certifications
- AWS cloud certification
