
Data Engineer
2 weeks ago
Role : Data engineer.
Looking for imm to 30days joiners.
Skills : Data engineer, python, astronomer airflow or Apache airflow, data pipeline, etl process.
Additional Troubleshooting, SQL,- Web application or mobile application.
Skills Required :
- Design, develop, support, and maintain data pipelines using Python and Astronomer Airflow to support data flow into customer-facing digital applications.
- Collaborate with members of the delivery team, and other stakeholders to understand data requirements for digital products and implement solutions accordingly.
- Build ETL processes to extract, transform, and load data from various sources into data stores that feed into digital applications.
- Ensure the reliability, scalability, and performance of data pipelines, with a focus on minimizing latency and maximizing data quality.
- Monitor and maintain data pipelines, proactively identifying and resolving issues to ensure consistent data delivery to applications.
- Implement data validation and quality checks to ensure data accuracy and integrity within our digital platforms.
- Continuously optimize and enhance data workflows and processes to support evolving product and business needs.
- Document data engineering processes, including pipeline design, data flows, and operational procedures.
- Stay up-to-date with the latest trends and best practices in data engineering, particularly in relation to digital applications.
- Performing gap analysis to identify improvement opportunities.
- Engage in Agile ceremonies, primarily within the delivery team as well as the wider Genus IT Agile Release Train.
- Contribute to analysis, documentation and requirements gathering within the ABS Digital team.
- Participate in code reviews, providing constructive feedback to peers and ensuring high code quality.
- The above list is not exhaustive, and the post holder will undertake such other duties as required.
Qualifications and Experience :
- Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
- 3+ years of experience as a Data Engineer, with a focus on supporting data pipelines for digital applications.
- Proficiency in Python programming and experience with Astronomer Airflow or Apache Airflow, including DAG creation, workflow management, and scheduling.
- Solid understanding of ETL processes and data integration techniques.
- Experience working with SQL and relational databases and data warehousing solutions.
- Familiarity with cloud platforms, specifically Microsoft Azure and data-related services.
- Understanding of data architecture principles and best practices for data management in customer-facing applications.
- Strong problem-solving skills, with the ability to troubleshoot and resolve data pipeline issues quickly.
- Experience working with data pipelines in a customer-facing digital environment, such as web or mobile applications.
- Knowledge of data governance, privacy, and security best practices.
- Experience with containerization and orchestration tools like Docker.
- Understanding of data modelling and API integration for digital applications.
- Strong problem-solving skills, with attention to detail and a commitment to delivering high-quality work
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