Data (BigData) Middle

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Relevant certifications in Azure Data Bricks and Azure Data Factory are a plus. Design, build, and maintain big data pipelines and workflows using Azure Data…...

Hamster Kombat

Purpose of the job:

Our client is global pharmaceutical company focused on combating, preventing, and ultimately eradicating HIV and AIDS

MAIN TASKS AND RESPONSIBILITIES:

  • Design, build, and maintain big data pipelines and workflows using Azure Data Factory.
  • Develop and optimize data transformation and processing logic within Azure Data Bricks.
  • Work closely with data engineers, data scientists, and other stakeholders to understand business requirements and translate them into technical solutions.
  • Implement best practices for data ingestion, storage, and analytics on the Azure platform.
  • Optimize performance and scalability of big data solutions to meet business needs and ensure high availability.
  • Troubleshoot and resolve issues related to data pipeline failures, data quality issues, and performance bottlenecks.
  • Collaborate with cloud architects and DevOps engineers to automate deployment and management of big data solutions.
  • Stay current with emerging technologies and industry trends in big data, cloud computing, and analytics.

EDUCATION, SKILLS AND EXPERIENCE:

MUST HAVE:

  • Bachelors degree in Computer Science, Information Technology, or related field.
  • Proven experience working with big data technologies, particularly Azure Data Bricks and Azure Data Factory.
  • Strong proficiency in SQL, Python, or other programming languages commonly used in big data processing.
  • Experience with data modeling, ETL/ELT processes, and data warehousing concepts.
  • Familiarity with cloud platforms, preferably Microsoft Azure, and related services such as Azure Blob Storage, Azure SQL Data Warehouse, and Azure HDInsight.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Relevant certifications in Azure Data Bricks and Azure Data Factory are a plus.

Information :

  • Company : Capgemini Engineering
  • Position : Data (BigData) Middle
  • Location : Львів
  • Country : UA

How to Submit an Application:

After reading and knowing the criteria and minimum requirements for qualifications that have been explained from the Data (BigData) Middle job info - Capgemini Engineering Львів above, thus jobseekers who feel they have not met the requirements including education, age, etc. and really feel interested in the latest job vacancies Data (BigData) Middle job info - Capgemini Engineering Львів in 01-05-2024 above, should as soon as possible complete and compile a job application file such as a job application letter, CV or curriculum vitae, FC diploma and transcripts and other supplements as described above, in order to register and take part in the admission selection for new employees in the company referred to, sent via the Next Page link below.

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Post Date : 01-05-2024