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Big Data Engineering Expert

2 tygodni temu

Tadeusza Czackiego Warszawa, Polska Addepto Pełny etat

About Addepto

Addepto is a leading consulting and technology company specializing in Artificial Intelligence (AI) and Big Data solutions. We partner with top-tier global enterprises and pioneering startups to deliver innovative data projects, leveraging cutting-edge technologies.

Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

Job Overview

We are seeking an experienced Senior Data Engineer to join our team and work on challenging projects across various industries, utilizing advanced technologies such as Databricks, Apache Airflow, and Dagster.

The ideal candidate will have strong programming skills in Python, experience with designing and implementing data governance and management processes, and expertise in Big Data technologies.

Main Responsibilities

  • Design and optimize scalable data processing pipelines for both streaming and batch workloads using Big Data technologies such as Databricks, Apache Airflow, and Dagster.
  • Architect and implement end-to-end data platforms, ensuring high availability, performance, and reliability.
  • Lead the development of Continuous Integration/Continuous Deployment (CI/CD) and Machine Learning Operations (MLOps) processes to automate deployments, monitoring, and model lifecycle management.
  • Develop and maintain applications for aggregating, processing, and analyzing data from diverse sources, ensuring efficiency and scalability.
  • Collaborate with Data Science teams on Machine Learning projects, including text/image analysis, feature engineering, and predictive model deployment.
  • Design and manage complex data transformations using Databricks, DBT, and Apache Airflow, ensuring data integrity and consistency.
  • 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.

Requirements

  • At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems.
  • Strong programming skills in Python, including writing clean code and Object-Oriented Programming (OOP) design.
  • Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions.
  • Experience in designing and implementing data governance and management processes.
  • Deep expertise in Big Data technologies, including Apache Airflow, Dagster, Databricks, and other modern data orchestration and transformation tools.
  • Experience implementing and deploying solutions in cloud environments, preferably Azure.
  • Knowledge of how to build and deploy Power BI reports and dashboards for data visualization.
  • Excellent understanding of dimensional data and data modeling techniques.
  • 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.
  • Familiarity with Spark, Azure Event Hub or Kafka.
  • Master's or Ph.D. in Computer Science, Big Data, Mathematics, Physics, or a related field.

Benefits

  • 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.
  • Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
  • Choose from various employment options: 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.
  • Participate in team-building events and utilize the integration budget.
  • Celebrate work anniversaries, birthdays, and milestones.
  • Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
  • Get full work equipment for optimal productivity, including a laptop and other necessary devices.
  • With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
  • Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.