Addepto
Addepto
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Senior Data Engineer (Databricks)

21k - 28.6k PLN/ mies.B2B
SeniorFull-time·B2B
#439641·Dodano dziś·0
Źródło: justjoin.it
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Tech Stack / Keywords

AirflowApache KafkaDBTAzureDatabricksSQLPythonBig DataApache Spark

Firma i stanowisko

Addepto is a leading AI consulting and data engineering company focusing on Artificial Intelligence and Big Data. The company builds scalable AI solutions for large enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Addepto has developed its own product, ContextClue, and contributes open-source solutions to the AI community. Addepto is part of KMS Technology, a US-based global technology group, combining AI specialization with enterprise-scale delivery capabilities.

Wymagania

  • At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems.
  • Strong programming skills in Python including clean code and OOP design.
  • Strong SQL skills with experience in performance tuning, query optimization, and data warehousing solutions.
  • Experience designing and implementing data governance and data management processes.
  • Deep expertise in Big Data technologies including Apache Airflow, Dagster, Databricks, and modern data orchestration and transformation tools.
  • Experience implementing and deploying solutions in cloud environments, preferably Azure.
  • Knowledge of building and deploying Power BI reports and dashboards for data visualization.
  • Excellent understanding of dimensional data and data modeling techniques.
  • Consulting experience with ability to guide clients on architectural decisions, technology choices, and best practices.
  • Ability to work independently and take ownership of deliverables.
  • Familiarity with Apache Spark, Azure Event Hub, or Kafka.
  • Master’s or Ph.D. in Computer Science, Big Data, Mathematics, Physics, or related field.

Obowiązki

  • Design and optimize scalable data processing pipelines for 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 development of CI/CD and MLOps processes for automation of 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 across all data pipelines.

Benefity

  • Work in a supportive team passionate about AI and Big Data.
  • Engage with top global enterprises and startups on international projects.
  • Flexible work arrangements including remote work and modern offices/coworking spaces.
  • Professional growth through career paths, knowledge sharing, language classes, and sponsored trainings/conferences, including partnerships with Databricks and Anthropic.
  • Participation in team-building events and utilization of integration budget.
  • Celebration of work anniversaries, birthdays, and milestones.
  • Access to medical and sports packages, eye care, psychotherapy, and coaching.
  • Full work equipment including laptop and necessary devices.
  • Opportunities to boost personal brand via conferences, blogging, and meetups.
  • Smooth onboarding with a dedicated buddy in a friendly and autonomous culture.
Elastyczne godziny
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Inne informacje

Informujemy, że administratorem danych jest Addepto sp. z o.o. z siedzibą w Warszawie. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji zgodnie z obowiązującym prawem. Podanie danych obowiązkowych jest konieczne do przeprowadzenia rekrutacji. Dane będą przechowywane do zakończenia postępowania rekrutacyjnego lub do czasu wycofania zgody na udział w przyszłych rekrutacjach.

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