Posted:5 days ago|
Platform:
On-site
Full Time
? 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.
Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake.
Tredence Inc.
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