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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 effective 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 team-oriented workplace, and are looking for an opportunity to make a real impact, we encourage you to apply!

📌 Senior Data Engineer Pune
🏢 HigHRise Solutions
📍 Pune