Senior AWS Data Engineer
7 dni temu
Python
SQL
Microsoft Power BI
about-project :
As a Senior Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes, as well as giving freedom for technology selection.
This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a user-friendly, secure, and data-driven platform, serving as a basis for further development of ML components.
This project aims to build a data processing system for both real-time streaming and batch data. We'll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Design and optimize scalable data processing pipelines for both streaming and batch workloads using Big Data technologies such as Databricks, Apache Airflow, and Dagster.
Lead the development of CI/CD and MLOps processes to automate deployments, monitoring, and model lifecycle management.
Collaborate with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment.
Translate business requirements into scalable and efficient technical solutions while ensuring optimal performance and data quality.
Ensure data security, compliance, and governance best practices are followed across all data pipelines.
At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems.
Strong programming skills in Python: writing a clean code, OOP design.
Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions.
Deep expertise in Big Data technologies, including Apache Airflow, Dagster, Databricks, Spark, DBT, and other modern data orchestration and transformation tools.
Experience implementing and deploying solutions in cloud environments (with a preference for Azure).
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
Consulting experience and the ability to guide clients through architectural decisions, technology selection, and best practices.
Ability to work independently and take ownership of project deliverables.
D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
B2B, employment contracts, or contracts of mandate.
Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
private medical care
sharing the costs of professional training & courses
remote work opportunities
video games at work
coffee / tea
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