Data Engineer

• 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