Data Engineer
Data Engineer
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4-5years
30000 - 45000
1 Vacancy
Job Description
Job Summary:
A Data Engineer will be responsible for designing building and maintaining the infrastructure and systems that enable our organisation to collect store and analyse large volumes of data efficiently and securely. The candidate will develop data pipelines integrate data from various sources and ensure data is clean reliable and accessible for analysis.
Working closely with data analyst and the team in our Efficiency department the data engineers will focus on the architecture and performance of databases and data flows helping ensure that data is well-organized and readily available for business intelligence and analytics purposes.
Key Responsibilities:
- Data Architecture & Design: Design develop and optimize scalable and efficient data architectures and data pipelines for ingesting transforming and loading data from diverse internal and external sources. A0WSA
- ETL/ELT Development: Build and maintain Extract Transform Load (ETL) or Extract Load transform (ELT) processes to consolidate data from various departmental systems and databases (e.g. spreadsheets legacy systems operational databases).
- Data Centralization: Implement solutions to centralize all available data ensuring it is readily accessible and properly structured for analysis and reporting.
- Data Quality & Integrity: Implement robust data quality checks and validation procedures within the data pipelines to ensure the accuracy completeness and consistency of consolidated data. Develop monitoring tools to identify and address data integrity issues proactively.
- Database Management: Manage and optimize data storage solutions (e.g. relational databases data warehouses data lakes) to support analytical needs and efficient data retrieval.
- Integration: Work closely with the implementation team to ensure seamless data flow and integration between existing data sources and the new Zoho CRM system. This includes designing and implementing data migration strategies.
- Performance Optimization: Optimize data pipelines and database queries for performance scalability and cost-efficiency.
- Documentation: Create and maintain comprehensive documentation for data pipelines data models and data infrastructure.
- Collaboration: Collaborate with Data Analysts business stakeholders and IT teams to understand data requirements and ensure data solutions meet business needs.
Requirements
Qualifications and Desired Skills:
- Bachelor s degree in computer science software engineering data science or a related field.
- Proven experience as a Data Engineer ETL Developer or in a similar role.
- High business acumen and data interpretation techniques and skills for business related scopes.
- Strong expertise in designing building and maintaining scalable data pipelines.
- Proficiency in programming languages commonly used for data engineering (e.g. Python Java Scala).
- Extensive experience with SQL and database systems (e.g. PostgreSQL MySQL SQL Server Oracle).
- Experience with data warehousing concepts and technologies.
- Familiarity with cloud data platforms (e.g. AWS Azure GCP) is a plus.
- Demonstrated experience in implementing data quality and data governance best practices.
- Experience with data integration tools and platforms.
- Experience with CRM data particularly Zoho CRM and data migration strategies is highly desirable.
- Strong problem-solving skills and attention to detail.
- Individual must have high business acumen
- Ability to work effectively in a team environment and communicate technical concepts clearly.
Proven experience as a Data Engineer, ETL Developer, or in a similar role. High business acumen and data interpretation techniques and skills for business related scopes. Strong expertise in designing, building, and maintaining scalable data pipelines. Proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala). Extensive experience with SQL and database systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle). Experience with data warehousing concepts and technologies. Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) is a plus. Demonstrated experience in implementing data quality and data governance best practices. Experience with data integration tools and platforms. Experience with CRM data, particularly Zoho CRM, and data migration strategies is highly desirable. Strong problem-solving skills and attention to detail. Individual must have high business acumen Ability to work effectively in a team environment and communicate technical concepts clearly.
Education
Bachelor s degree in computer science, software engineering, data science, or a related field.
Employment Type
Full Time
