Project Engineer developing innovative software solutions for intelligent supply chain planning with cross - functional teams. Involvement in client projects ensuring user - driven integration and success.
About the role
- Senior Data Engineer specializing in Databricks and PySpark for building scalable data solutions in cloud platforms. Responsible for data quality and optimizing data workflows.
Responsibilities
- Design and implement data pipelines and ETL processes using **Databricks** and **PySpark**.
- Develop and optimize SQL queries for data transformation and analytics.
- Collaborate with data architects, analysts, and business stakeholders to deliver high-quality data solutions.
- Ensure data quality, governance, and compliance across all processes.
- Integrate data from multiple sources and manage large-scale datasets efficiently.
- Troubleshoot and optimize performance for data workflows and queries.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Proven experience in building and managing data pipelines in cloud environments.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- **Primary Skills (Must-Have): **
- **Databricks** (including Delta Lake and ML capabilities)
- **PySpark** for distributed data processing
- **SQL** for data manipulation and analytics
- **Good-to-Have Skills: **
- **Azure Services:** ADF, Synapse, Purview, Fabric
- **AWS Services:** Glue, Lambda, Step Functions
- **Workflow Orchestration:** Airflow
- **Data Transformation & Integration:** DBT, Fivetran, Informatica
- **Streaming & Messaging:** Kafka
- **BI & Visualization:** Power BI
- **Data Governance Tools:** Collibra, Alation
- **GCP:** BigQuery
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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