Sr Data Engineer, 3866
Mindtel
About the role
Job Summary • Design, develop and maintain robust ETL pipelines using Data Bricks and Azure Data Factory. • Transform raw data into actionable insights to support business decision‑making. • Manage and optimize data storage solutions using SQL Server. • Collaborate with cross‑functional teams and stakeholders to gather requirements and ensure seamless data integration. • Develop and maintain scalable data architectures and data workflows. • Automate data operations and enhance deployment processes using DevOps practices. • Write and optimize Python scripts for efficient data processing and analysis. • Monitor, troubleshoot and ensure accuracy and availability of data pipelines. • Stay updated with industry trends and adopt new data engineering technologies and best practices. • Ensure high data quality across platforms and facilitate ongoing improvements in data engineering processes.
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Responsibilities
- Design, develop and maintain robust ETL pipelines using Data Bricks and Azure Data Factory.
- Transform raw data into actionable insights to support business decision‑making.
- Manage and optimize data storage solutions using SQL Server.
- Collaborate with cross‑functional teams and stakeholders to gather requirements and ensure seamless data integration.
- Develop and maintain scalable data architectures and data workflows.
- Automate data operations and enhance deployment processes using DevOps practices.
- Write and optimize Python scripts for efficient data processing and analysis.
- Monitor, troubleshoot and ensure accuracy and availability of data pipelines.
- Stay updated with industry trends and adopt new data engineering technologies and best practices.
- Ensure high data quality across platforms and facilitate ongoing improvements in data engineering processes.
Skills
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