We are seeking an experienced Databricks Full Stack Data Engineer with 69 years of industry experience. The ideal candidate will have a proven track record of working on live projects, preferably within the manufacturing or energy sectors. He/she will play a key role in developing and maintaining scalable data solutions using Databricks and related technologies.

Key Responsibilities:
- Develop and deploy end-to-end data pipelines and solutions in Databricks, integrating with various data sources and systems.
- Collaborate with cross-functional teams to understand data and deliver effective BI solutions.
- Implement data ingestion, transformation, and processing workflows using Spark (PySpark/Scala), SQL, and Databricks notebooks.
- Develop and maintain data models, ETL/ELT processes, ensuring high performance, reliability, scalability and data quality.
- Build and maintain APIs and data services to support analytics, reporting, and application integration.
- Ensure data quality, integrity, and security across all stages of the data lifecycle.
- Monitor, troubleshoot,



and optimise pipeline performance in a cloud-based environment.
- Write clean, modular, and well-documented Python/Scala/SQL/PySpark code.
- Integrate data from various sources, including APIs, relational and non-relational databases, IoT devices, and external data providers.
- Ensure adherence to data governance, security, and compliance policies.

Required Skills and Experience:
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 5-6 years of hands-on experience in data engineering, with a strong focus on Databricks and Apache Spark.
- Strong programming skills in Python/PySpark and/or Scala, with a deep understanding of Apache Spark.
- Experience with Azure Databricks.
- Robust SQL skills for data manipulation, analysis, and performance tuning.
- Strong understanding of data structures and algorithms, with the ability to apply them to optimize code and implement eff

📌 Databricks Full Stack Data Engineer (Ahmedabad)
🏢 Koantek
📍 Ahmedabad