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 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 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, 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 - Only PUNE

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

Expected Joining Time - Immediate joiners only

📌 Senior Data Engineer (Pune)
🏢 Tredence
📍 Pune