Azure Data Engineer
Siri InfoSolutions Inc
Job Title : Azure Data Engineer
Location : Charlotte, NC (Onsite)
Position : Contract
Job Description
We are seeking an experienced Azure Data Engineer to design, develop, and maintain scalable data pipelines and modern cloud-based data solutions using Microsoft Azure technologies. The candidate will work closely with data architects, analysts, application teams, and business stakeholders to build reliable data platforms and deliver high-quality data for analytics and reporting.
Must Have Technical/Functional Skills
- 5+ years of experience in Data Engineering , with strong hands-on experience in Microsoft Azure.
- Strong experience with Azure Data Factory (ADF) for designing and developing ETL/ELT pipelines.
- Strong proficiency in SQL and experience working with relational databases such as SQL Server, Oracle, or PostgreSQL.
- Hands-on experience with Azure Databricks and PySpark for large-scale data processing and transformation.
- Experience developing scalable ETL/ELT data pipelines and implementing data integration solutions.
- Strong experience with Azure Data Lake Storage Gen2 (ADLS) .
- Experience with Azure Synapse Analytics for data warehousing and analytical workloads.
- Strong Python programming skills for data processing and automation.
- Experience with Delta Lake and lakehouse architecture.
- Experience implementing incremental data loads, CDC, SCD Type 1/Type 2, and data partitioning.
- Experience with Azure Key Vault , managed identities, service principals, and Azure security concepts.
- Experience with Git/Azure DevOps for source control, CI/CD, and deployment automation.
- Experience monitoring and troubleshooting Azure data pipelines and production data workloads.
- Strong understanding of data modeling, data warehousing concepts, and dimensional modeling.
Responsibilities
- Design and develop scalable data pipelines using Azure Data Factory .
- Build data processing solutions using Azure Databricks, PySpark, and Python .
- Develop and optimize SQL queries, stored procedures, and data transformation logic.
- Ingest data from databases, APIs, files, and other enterprise sources into Azure Data Lake.
- Design and maintain ADLS Gen2, Databricks, and Synapse data solutions.
- Implement batch and incremental data processing frameworks.
- Develop reusable ETL/ELT frameworks and data integration components.
- Perform data validation, reconciliation, and quality checks.
- Optimize data pipelines and Spark jobs for performance and cost.
- Implement CI/CD pipelines using Azure DevOps and Git.
- Secure data pipelines using Azure Key Vault, managed identities, RBAC, and other Azure security mechanisms.
- Monitor production pipelines and troubleshoot failures and data issues.
- Collaborate with data architects, business analysts, BI developers, and other engineering teams.
- Document data pipelines, architecture, data mappings, and technical processes.
Vacancy posted 3 days ago
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