Job Specifications
· Job Title: Senior Data Engineer
· Location: Glasgow, UK (Hybrid, 3 days onsite)
· Duration: 6 months (Inside IR35)
Job Description:
Role Responsibilities
You will be responsible for:
• Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks
• Developing and deploying ETL jobs that extract data from various sources, transforming it to meet business needs.
• Taking ownership of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency.
• Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations
• Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives.
• Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high quality.
• Developing and maintain tooling and automation scripts to streamline repetitive tasks.
• Implementing unit, integration, and other testing methodologies to ensure the reliability of the ETL processes
• Utilizing REST APls and other integration techniques to connect various data sources
• Maintaining documentation, including data flow diagrams, technical specifications, and processes.
You Have:
• Proficiency in Python programming, including experience in writing efficient and maintainable code.
• Hands-on experience with cloud services, especially DataBricks, for building and managing scalable data pipelines
• Proficiency in working with Snowflake or similar cloud-based data warehousing solutions
• Solid understanding of ETL principles, data modelling, data warehousing concepts, and data integration best practices
Familiarity with agile methodologies and the ability to work collaboratively in a fast-paced, dynamic environment.
• Experience with code versioning tools (e.g., Git)
• Meticulous attention to detail and a passion for problem solving
• Knowledge of Linux operating systems
• Familiarity with REST APIs and integration techniques
You might also have:
• Familiarity with data visualization tools and libraries (e.g., Power BI)
• Background in database administration or performance tuning
Familiarity with data orchestration tools, such as Apache Airflow
• Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing
• Experience with ServiceNow integration
About the Company
Infoplus Technologies UK Limited is a global IT services company focusing on Enterprise solutions and integration services consulting (SAP/Oracle), MRO Master Data Management, software development, product solutions for education segment, and IT consulting services offering outsourcing solutions to enterprises worldwide. Since inception in 2000, Infoplus has focused on a principle to maximize output for its clients and partners through cost-savings, enhanced productivity and quality.
Headquartered in the United Kingdom, we...
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