Databricks Architect

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.

Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake.