Job Summary :

We are seeking a skilled Data Engineer / Data Architect with strong expertise in Databricks to design, build, and optimize scalable data solutions. The ideal candidate will have hands-on experience in modern data platforms, cloud environments, and data architecture principles, with a proven track record of delivering robust data pipelines and systems.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Databricks

- Architect and implement end-to-end data solutions on cloud platforms (AWS/Azure/GCP)

- Build and optimize ETL/ELT processes for large-scale structured and unstructured datasets

- Collaborate with cross-functional teams to define data requirements and translate them into

technical solutions

- Ensure data quality, governance, and security across data platforms

- Optimize performance of data workflows and storage systems

- Implement best practices in data modeling, architecture, and pipeline orchestration

- Mentor junior engineers and contribute to architectural decisions

Required Skills & Qualifications :

- 5+ years of experience in data engineering / data architecture

- Mandatory hands-on experience with Databricks

- Strong proficiency in Python / PySpark / SQL

- Experience with cloud platforms such as AWS, Azure, or GCP

- Solid understanding of data warehousing concepts and data modeling techniques

- Experience with big data technologies (e.g., Spark, Hadoop)

- Familiarity with orchestration tools (e.g., Airflow, ADF)

- Knowledge of data lake and lakehouse architectures

- Strong problem-solving and analytical skills

Preferred Qualifications :

- Experience in designing Lakehouse architecture

- Exposure to real-time data processing (Kafka, streaming frameworks)

- Certification in cloud or Databricks technologies