Big Data Developer @ Devire
(práce v Polsku)

Big Data Developer @ Devire

Polsko

• Minimum of 3–5 years of professional experience as a Big Data Developer. 
• Proficiency in English, both written and spoken. 
• Strong experience with Scala and Apache Spark. 
• Working knowledge of Jenkins, Git, Python/Java, and SQL. 
• Strong technical expertise with a proven ability to solve complex problems. 
• Excellent communication skills and a collaborative, team-oriented mindset. 
• Analytical thinking and a proactive approach to problem-solving. 
• Experience in the banking or financial sector is a plus. 

Devire Outsourcing IT is a form of partnership dedicated to self-employed IT specialist, executing projects for our Clients - leading IT Companies bringing innovations and newest resolutions to market.

For our Client is a leading financial company undergoing a digital transformation, we are looking for a Big Data Developer.

Location: Warsaw, hybrid model (2 days per week in the office)

Salary: 160-180 PLN net+VAT/h; B2B

• Salary up to 180 PLN net+VAT/h on B2B contract via Devire.
• Additional benefits package (medical healthcare, sports membership, etc.).
• Possibility to cooperate with an international company with a stable market position.
• Hybrid model (Warsaw-based candidates)
• Long-term cooperation.
• Flexible working hours, Polish time zone.

,[Operate effectively in a global, follow-the-sun environment, demonstrating proactivity, assertiveness, and strong collaboration skills., Deliver IT solutions regularly within a Scrum framework (every 2–3 weeks), taking full ownership of assigned tasks and deliverables. , Support Technical Architects in selecting and implementing solutions within the information system (IS). , Analyze user requirements and translate them into detailed technical architecture specifications. , Provide recommendations and insights on Big Data architecture and best practices. , Develop technical solutions in line with business guidelines, standards, and client requirements. , Ensure consistent integration of Data Lake use cases within the IS, in collaboration with the Technical Architecture team. , Identify potential risks related to costs and timelines, and propose pragmatic, coherent mitigation strategies. , Design, develop, and implement data collection, processing, and data mapping workflows using Spark/Scala. , Implement and optimize continuous delivery pipelines using Jenkins, SonarQube, Nexus, and Kubernetes. ] Requirements: Big Data, Scala, Apache Spark, Jenkins, Git, Python, Java, SQL, Communication skills

Kategorie

data

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