Senior Cloud Data Engineer
hace 1 mes
Endava's data team is a hub of expertise in engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. We transform raw data into actionable insights, build robust data infrastructures, and enable data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:- Collaborate with customers to analyze existing systems and develop plans for migrating databases and data processing systems to the cloud.
- Define and implement cloud data strategies, including security posture, target operating model, and disaster recovery strategies.
- Deliver end-to-end data solutions, from concept and planning to production rollouts.
- Enhance the client's data landscape by improving data lineage, quality, and reliability.
- Help organizations adopt AI/ML-based solutions by introducing MLOps culture.
- Participate in the technical advisory and cloud infrastructure team, responsible for securing foundational Data Lakes and Data Meshes implementations, automated provisioning of infrastructure and pipelines, cloud-ready ETL/ELT architectures, and presenting analytical findings on cutting-edge BI Dashboards.
- Understanding of the entire software development lifecycle, CI/CD, and Data/MLOps approach.
- Expert knowledge of SQL and at least one language used in Data Analytics/Science space (Python, R, SAS).
- Knowledge of at least one programming language (Java, C#, C++).
- Knowledge of Big Data and Orchestration tools such as Apache Airflow or Spark.
- Experience working with Relational and NoSQL databases.
- Working experience with BI Tools (Looker, Power BI, Tableau, Data Studio).
- Basic understanding of GIT and various automation servers (Jenkins, CircleCI, GitLab CI).
- Knowledge of messaging systems.
- Basic Knowledge of containers, Docker, and Kubernetes.
- Cloud certifications such as Associate Cloud Engineer will be an asset.
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 programs 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 program.
- Health: Global internal wellbeing program, access to wellbeing apps.
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programs, events and celebrations.
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