Jobs → Data & Analytics → Lead Data Engineer

About the Role We are seeking a Lead Data Engineer with extensive experience in Data Engineering and hands-on expertise in Databricks. This role involves managing customer issues, building scalable data solutions, and collaborating with cross-functional teams. Key Responsibilities • Design and implement scalable ETL/ELT pipelines and data engineering solutions • Manage customer escalations and resolve issues effectively • Develop and maintain data models and data warehousing solutions • Optimize data performance and implement best practices • Collaborate with business and technical teams to deliver enterprise data solutions Requirements • 14+ years of IT experience with 10+ years in Data Engineering • Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake) • Strong programming skills in Python and SQL • Experience with Azure/AWS/GCP, 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 • Excellent analytical, problem-solving, and communication skills