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About the role
Role description Role Description: Developing Modern Data Warehouse solutions using Databricks and Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements. Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications: Bachelor's and/or master's degree in computer science or equivalent experience. Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Experience in building ETL / data warehouse transformation processes Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Mandatory Skills Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake. Job Location - Bangalore, Chennai, Gurgaon, Pune, Kolkata Experience Level - Lead Data Engineer ( 9 to 12 years ) , Senior Architect ( 12 + Years ) Expected Joining Time - Immediate - 30 days
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