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Building Scalable Data Solutions
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We are seeking a skilled professional to join our team as a Data Engineer. As a key member of our data engineering team, you will be responsible for designing, building, and managing scalable data pipelines and enterprise data solutions.
Our ideal candidate has a deep understanding of Azure, SQL Server, and Databricks, with experience in ETL/ELT pipelines, data integration, and data warehousing. You will collaborate with cross-functional teams to deliver data-driven solutions that meet the needs of our business.
Key Responsibilities- Design, develop, and manage ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
- Integrate data from various structured and unstructured sources, including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
- Build and maintain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
- Write efficient and optimized SQL queries, stored procedures, views, and triggers in SQL Server.
- Use Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
- Ensure data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
- Collaborate with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
- Implement CI/CD pipelines using Azure DevOps.
- Monitor and optimize the performance of data pipelines and queries across Azure and SQL Server environments.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience in data engineering or related roles.
- Proven experience with:
- Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse
- Databricks (Azure implementation), including experience with Spark (Python or Scala).
- Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
- Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling (star/snowflake schema).
- Familiarity with data governance, RBAC, and data security practices in Azure.
- Experience with CI/CD tools like Azure DevOps and version control with Git.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
