Senior Data Engineer
Senior Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
As a job title at 2-3 sentences here describing the core responsibilities and expectations of the role
Responsibilities:
- Develop the architecture for the data pipelines and implement in different ETL tools (Azure Data Factory Glue Airflow or any other)
- Collaborate with the data architect to create and maintain source to target mapping documentation
- Identify document and develop measures to visualize and record source data and data pipeline quality objectives
- Experience with data migration projects between systems hosted in different hosting environments (on-premises AWS Azure etc.)
- Contribute to agile ceremonies size tasks and deliverables
Qualifications :
- Bachelors Degree or equivalent experience
- 5 years of experience designing and developing data pipelines and managing data infrastructure
- 5 years of experience with one or more data platforms (Oracle SQL Server)
- 2 - 5 years of experience with Python and Microsoft SSIS
- 1 - 2 years of experience in Cloud technologies (AWS Snowflake)
- Lead experience highly preferred
- Understanding of Extract Transform Load (ETL) processes
- Great interpersonal and communication skills
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan referral bonus;
- Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
- Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
