
Azure Data Engineer
12 hours ago
Job Description
Key Responsibilities:
- Design, develop, and implement data ingestion, processing, and reporting pipelines using the Azure Data Engineering stack.
- Lead and mentor a team of data engineers to deliver high-quality solutions.
- Utilize Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Synapse Analytics for data workflows.
- Develop scripts and data transformation logic using Python and SQL.
- Leverage Databricks and PySpark for big data processing (good to have).
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Ensure data quality, reliability, and integrity throughout the data lifecycle.
- Optimize and troubleshoot data pipelines for performance and scalability.
- Document technical specifications, processes, and workflows for effective knowledge sharing.
- Qualifications and Requirements:
- 8-10 years of hands-on experience in data engineering, with a strong focus on Azure technologies.
- Proficiency in Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Python, and SQL.
- Hands-on experience with PySpark and Databricks is highly desirable.
- Proven experience in leading teams and managing technical delivery.
- Strong understanding of data modeling, ETL/ELT processes, and pipeline orchestration.
- Experience in implementing end-to-end data solutions, from ingestion to reporting.
- Excellent problem-solving skills and the ability to troubleshoot complex issues.
- Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.
- Bachelors degree in Computer Science, Information Technology, or a related field.
EXPERIENCE
- 11-12 Years
SKILLS
- Primary Skill: Data Engineering
- Sub Skill(s): Data Engineering
- Additional Skill(s): Python, synapse, Azure Data Factory, Azure SQL Development
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