Lead Data Engineer(Databricks)

14+ years of IT experience with 10+ years in Data Engineering.

Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake).

Customer Management including Escalation, Issue resolution (Mandatory)

Strong programming skills in Python and SQL.

Experience building scalable ETL/ELT pipelines and data engineering solutions.

Hands-on experience with Azure/AWS/Google Cloud Platform, preferably Azure, and orchestration tools (ADF/Airflow).

Strong understanding of data modeling, data warehousing, and performance optimization.

Experience with Git, CI/CD, and DevOps best practices.

Knowledge of Delta Live Tables, Unity Catalog, and Structured Streaming is preferred.

Ability to collaborate with business and cross-functional teams to deliver enterprise data solutions.

Excellent analytical, problem-solving, and communication skills.