Highly Skilled Data Engineer Wanted
9 hours ago
Job Title: Data Engineer with Fabric
We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have experience designing, developing, and maintaining data pipelines and infrastructure.
Key Responsibilities:- Data Pipeline Development: Design, develop, and implement data pipelines using Azure Data Factory and Databricks to support the ingestion, transformation, and movement of data.
- ETL Processes: Develop and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
- Data Lake Management: Develop and maintain Azure Data Lake solutions, ensuring efficient storage and retrieval of large datasets.
- Data Warehousing: Work with Azure Synapse Analytics to build and manage scalable data warehousing solutions that enable advanced analytics and reporting.
- Data Integration: Integrate various data sources into MS-Fabric, ensuring data consistency, quality, and accessibility across different platforms.
- Performance Optimization: Optimize data processing workflows and storage solutions to improve performance and reduce costs.
- Database Management: Manage and optimize databases (SQL and NoSQL) to support high-performance queries and data storage requirements.
- Data Quality: Implement data quality checks and monitoring to ensure accuracy and consistency of data.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
- Documentation: Create and maintain comprehensive documentation for data processes, pipelines, and infrastructure.
- Troubleshooting and Support: Identify and resolve issues in data pipelines, data lakes, and warehousing solutions, providing timely support and maintenance.
- Experience: 2-4 years of experience in data engineering or a related field.
- Technical Skills:
- Proficiency with Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake
- Experience with Microsoft Fabric is a plus
- Strong SQL skills and experience with data warehousing concepts (DWH)
- Knowledge of data modeling, ETL processes, and data integration
- Experience with relational databases (e.g., MS-SQL, PostgreSQL, MySQL)
- Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend)
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services (e.g., S3, Redshift, BigQuery)
- Familiarity with data visualization tools (e.g., Power BI) and experience with programming languages such as Python, Java, or Scala.
- Experience with schema design and dimensional data modeling
- Analytical Skills: Strong problem-solving abilities and attention to detail.
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Education: Bachelor's degree in computer science, Engineering, Mathematics, or a related field. Advanced degrees or certifications are a plus.
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