Offer summary

Qualifications:

Strong educational background in Computer Science, Data Engineering, or related fields., Proficiency in Big Data technologies, especially Databricks, Apache Spark, and PySpark., Experience with designing and developing data pipelines for streaming and batch processing., Knowledge of CI/CD, MLOps, and data governance practices..

Key responsibilities:

Design and develop scalable data processing pipelines using Databricks and related tools.

Collaborate with Data Science teams on machine learning projects and data analysis.

Implement data transformations and organize data workflows with tools like Airflow and DBT.

Translate business needs into technical data solutions ensuring high performance and quality.

Addepto is a leading AI consulting company, recognized by Forbes and Deloitte, for delivering cutting-edge AI and Data-driven solutions. We specialize in accelerating process automation and optimization within global enterprises using modern technologies. With a team of AI and Data experts, we are committed to creating customized solutions that convert data into real value for our clients. Our key services include: ▪️AI Consulting ▪️Generative AI ▪️Data Engineering ▪️MLOps Consulting ▪️Big Data Consulting ▪️AI Discovery Workshop Our approach is distinguished by: ▫️Niche Industry Expertise: With deep-rooted knowledge across diverse industries and deep expertise in Data-related projects, we understand the unique challenges and opportunities businesses face. ▫️Fast and Agile Approach:. We pride ourselves on our ability to swiftly adapt and respond to evolving market demands, ensuring timely and effective solutions. ▫️Result and Goal Oriented: Our focus is on delivering measurable results aligned with your business objectives, driving tangible outcomes and business growth. ▫️ Technological Innovation: At Addepto, we stay at the forefront of technological advancements, leveraging the latest tools and techniques to drive innovation and stay ahead of the curve. ▫️ Solutions Tailored to Your Needs: Recognizing that every business is unique, we customize our solutions to address your specific requirements, ensuring maximum impact and value. Partner with us to unlock the full potential of AI and data-driven solutions!

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with toptier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI consulting companies.

As a Data Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cuttingedge technologies. Here are some of the projects we are seeking talented individuals to join:

Design and development of a universal data platform for global aerospace companies. 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.
Data Platform Transformation for energy management association body. This project addressed critical data management challenges, boosting user adoption, performance, and data integrity. The team is implementing a comprehensive data catalog, leveraging Databricks and Apache SparkPySpark, for simplified data access and governance. Secure integration solutions and enhanced data quality monitoring, utilizing Delta Live Table tests, established trust in the platform. The intermediate result is a userfriendly, secure, and datadriven platform, serving as a basis for further development of ML components.
Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both realtime 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. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.

Data Engineer (Databricks)

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