Job Description:

Senior Data Engineer

We are looking for a talented and experienced Senior Data Engineer to join our growing team and play a key role in building and maintaining our data infrastructure.

Responsibilities:
- Design, develop, and deploy high-performance, scalable data pipelines using Azure Datalake, Databricks, Data Factory, and DBT (minimum 3 years of experience required).
- Own the end-to-end data engineering life cycle, from data ingestion and transformation to modeling and delivery.
- Architect and implement relational databases and data models, ensuring efficient data storage and retrieval.
- Develop and execute ETL processes for data movement and transformation.
- Implement and manage CI/CD pipelines using tools like Git and Azure DevOps.
- Configure and administer Databricks and Azure Data Factory.
- Work independently and collaboratively with other engineers and stakeholders.
- Mentor and guide junior team members to help them grow their skills.




- Communicate effectively with both technical and non-technical audiences.

Requirements:
- 4+ years of experience as a Data Engineer.
- Strong proficiency in Azure Datalake, Databricks, Data Factory, and DBT.
- Proven experience in SQL and data modeling.
- Solid understanding of relational database design, ETL processes, and data lake architecture.
- Experience with Agile methodologies and tools like Jira and Azure DevOps.
- Knowledge of CI/CD pipelines and Git version control.
- Excellent communication and interpersonal skills.

Bonus points:
- Experience with cloud platforms like AWS, GCP, or Azure.
- Knowledge of Python, Spark, or Scala.
- Experience with data analysis tools and techniques.

If you are passionate about data, thrive in a cooperative environment, and are looking for an opportunity to make a real impact, we encourage you to apply

📌 Senior Data engineer (Pune)
🏢 HigHRise Solutions
📍 Pune