Data Engineer
Share
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
As a Data Engineer within our Enterprise Data and Analytics team youll be at the forefront of a company-wide digital transformation. Were looking for a forward-thinking engineer who brings deep technical expertise and a passion for building scalable AI-ready data this role youll architect and implement modern data solutions that power intelligent applications streamline operations and deliver measurable business value. Youll work closely with cross-functional teams to design robust pipelines integrate diverse data sources and enable advanced analytics and generative AI capabilities.
Key Responsibilities:
- Design develop and maintain scalable data pipelines and ETL processes using Azure Data Factory Azure Data Bricks and other Azure services.
- Implement and optimize data storage solutions using Azure Data Lake Azure SQL Database and Delta Lake to support analytics and reporting needs.
- Collaborate with data scientists analysts and business stakeholders to understand data requirements and deliver high-quality reliable datasets.
- Ensure data security compliance and governance by applying best practices role-based access control (RBAC) and encryption.
- Monitor and troubleshoot data workflows ensuring performance reliability and cost-efficiency across Azure cloud environments.
- Automate data integration and transformation tasks using Azure Functions Logic Apps and scripting languages like Python.
- Mentor junior engineers and foster a collaborative team environment.
Qualifications :
- Bachelors degree in computer engineering Computer Science or a related discipline
- 7 years of experience in ETL design development and performance tuning using the Microsoft Stack in a multi-dimensional data warehousing environment.
- 7 years of advanced SQL programming expertise (PL/SQL T-SQL)
- 5 years of experience in Enterprise Data & Analytics solution architecture
- 3 years of experience in Python Programming
- 3 years of hands-on experience with Azure especially for data-heavy/analytics applications leveraging relational and NoSQL databases Data Warehousing and Big Data solutions.
- 3 years of experience with key Azure services: Azure Data Factory Data Lake Gen2 Analysis Services Databricks Blob Storage SQL Database Cosmos DB App Service Logic Apps and Functions
- 2 years of experience designing data models aligning with business requirements and analytics needs.
- 2 years of experience defining and implementing data security standards including encryption auditing and monitoring.
- Strong analytical skills and a passion for intellectual curiosity
Preferred Skills:
- Familiarity with DevOps processes (CI/CD) and infrastructure as code
- Knowledge of Master Data Management (MDM) and Data Quality tools
- Experience developing REST APIs using Java Spring Boot Python
- Experience building and supporting AL/ML software solutions
- Familiarity with stream-processing systems (e.g. Event Hubs Storm Spark-Streaming)
- Experience with API integrations (RESTful SOAP) for both internal and external systems to enhance data flow and automation.
- Experience working in Agile environments familiarity with Agile tools like Jira or Azure DevOps.
- Experience in data and analytics within the Life Sciences industry is a plus.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Sutherland is seeking an organized and reliable person to join us as Admin Specialist. We are a group of driven and supportive individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you ... View more
