KPI Partners is seeking a skilled and motivated Databricks Engineer to join our dynamic team. As a Databricks Engineer, you will play a crucial role in designing, implementing, and optimizing data solutions using Databricks and Airflow. Your expertise will help drive data analytics initiatives and enhance our data-driven decision-making capabilities.
Key Responsibilities:
- Design and develop scalable data pipelines utilizing Databricks to process and analyze large datasets.
- Implement and manage workflow orchestration using Airflow.
- Collaborate with data scientists, analysts, and other stakeholders to define data requirements and ensure the availability of high-quality data.
- Optimize data workflows and ETL processes for efficiency and performance.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal downtime.




- Maintain documentation related to data architecture and processes, ensuring best practices are followed.
- Stay updated with industry trends and advancements in data engineering and analytics.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience working with Databricks and Airflow.
- Solid knowledge of data modeling, ETL processes, and data warehousing concepts.
- Proficiency in programming languages such as Python or Scala.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities, with a team-oriented mindset.

📌 Data Engineer (Pune)
🏢 KPI Partners
📍 Pune