Why This Role Stands Out
This Databricks Engineer role offers a fantastic opportunity to shape cutting-edge data solutions within a reputable company, providing significant room for career advancement and skill development. You'll thrive here if you possess strong expertise in Databricks, Spark, and cloud data architectures, and are eager to build robust, scalable data platforms. Apply now to contribute to impactful projects and grow your engineering career!
Quick Overview
Job Description
Hope You are doing great !!
We are currently hiring for the following opportunity that may align with your expertise: please let me know if you are interested or open to the job market so you can reply over the same email or you can directly reach me at / .
Role Databricks Engineer
Databricks Engineer
Role Overview
We are seeking a highly skilled Databricks Engineer to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions.
Key Responsibilities
- Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions.
- Lead implementation of:
- Cloud-based data lakehouse platforms integrating diverse data sources.
- Real-time data processing pipelines for operational and analytical use cases.
- Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.
- Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies.
- Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.
- Establish data quality frameworks and governance standards.
- Implement and manage Unity Catalog, including fine-grained security and access controls.
- Leverage Databricks components such as:
- Delta Live Tables
- Autoloader
- Structured Streaming
- Databricks Workflows
- Integration with orchestration tools (e.g., Apache Airflow)
- Drive CI/CD automation, deployment strategies, and DevOps best practices.
- Optimize performance of pipelines, Spark jobs, and compute resources.
- Provide architectural guidance and technical leadership across cross-functional teams.
- Engage with stakeholders and clients to translate business requirements into scalable technical solutions.
Deep expertise in:
- Databricks and cloud-native storage/compute platforms
- Apache Spark (batch & streaming)
- Delta Lake & Lakehouse architecture
- Distributed data processing systems
- Strong hands-on programming skills in Python, PySpark, Scala, and SQL.
Thanks & Regards
Mohan Jha
Sr Technical recruiter
HIREON TECH INC.
mohan
Phone: +1
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