Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science, 3+ years of experience in big data development, Strong knowledge of big data tools and frameworks, Familiarity with cloud platforms is a plus.

Key responsabilities:

Develop and maintain data pipelines using big data technologies

Collaborate with data engineers and scientists to meet data requirements

Billennium is a global IT services and solutions provider. Established in 2003, we have been in the IT services and solutions industry since then – we develop as the technology develops, delivering our clients the best-in-class solutions. Having 11 offices on 3 continents, our 1800+ IT experts work in a follow-the-sun (24/7/365) model to deliver the highest quality IT solutions and services for businesses around the globe, helping our clients in building strong competitive advantage with technology. Billennium is driven by purpose, yet powered by technology partnerships – Microsoft, Google, AWS, Salesforce, Mulesoft, Tableau, and more. Official partnerships confirm our expertise in delivering tailor-made, multi-cloud, and cutting-edge technology IT solutions and services. Security and stability of our clients' business are crucial, therefore we implemented several ISO standards to strengthen these vital values – ISO 9001, ISO 27001, and ISO 20000-1 certificates. We are a global IT services and solutions provider, with over 117 satisfied corporate, public, and government clients around the globe, including those from the regulated industries and critical systems at the government level. You can trust us!

Job description

We are seeking a talented Big Data Developer experienced in Python, Java, or Scala to design and implement scalable big data solutions. You will build and optimize data processing pipelines and collaborate with cross-functional teams to deliver effective data architectures.

Key responsibilities:

Develop and maintain data pipelines using big data technologies (e.g., Apache Hadoop, Apache Spark).
Collaborate with data engineers and scientists to meet data requirements.
Optimize data workflows for performance and reliability.
Ensure data quality and implement data governance practices.
Document data architectures and workflows

Qualifications: