
Highly Experienced Senior Data Engineer
18 hours ago
Job Summary:
We are seeking an experienced data engineer to develop and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- To succeed in this role, you will need to design and implement scalable data architectures following Medallion Architecture and best practices.
- You will perform data ingestion, transformation, and orchestration across structured and unstructured datasets.
Key Responsibilities
Data Engineering Expertise- Develop and maintain data lake solutions in Azure Data Lake Storage (ADLS) Gen2.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Implement CI/CD pipelines for data workflows using Azure DevOps.
- Collaborate with stakeholders to understand data requirements and ensure data availability.
- Ensure data governance, security, and compliance in Azure-based data solutions.
- Maintain up-to-date knowledge of the latest Azure and big data technologies and implement best practices.
- Monitor and troubleshoot data pipelines to maintain reliability and performance.
Requirements
Must-Haves- Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks.
- Expertise in SQL, T-SQL, and Python for data processing and transformation.
- Familiarity with PySpark for big data processing.
- Experience in New Age Technologies like Low Code, No Code, DevOps.
- Familiarity with Data Governance and Security best practices in cloud-based data solutions.
About Us
We are a global technology company that matches client business goals with our technology expertise to deliver robust IT solutions. We empower our people to perform and grow by offering opportunities, learning, and inspiration. If you are a self-starter looking for an open and collaborative work culture, we welcome your application.
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