Roles and Responsibilities
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 recent 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 masters 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 energetic, fast-paced, cutting-edge 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 - Only PUNE

Experience Level - 5 to 8 years (Senior Data Engineer )

Expected Joining Time - Immediate joiners only

📌 Senior Data Engineer Pune
🏢 Tredence
📍 Pune