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Senior Data Engineer
hace 3 meses
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 Senior Data Engineer at Endava, you will be responsible for developing and implementing data pipelines, collaborating with data architects, and ensuring data quality and integrity. You will also support data migration projects and contribute to agile development processes.
Responsibilities:
- Develop the architecture for the data pipelines and implement it using Python and Microsoft SQL Server Integration Services (SSIS)
- 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
- Bachelor's 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, company performance bonuses, value-based recognition awards, 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.
