Mid Big Data Engineer @ Capco Poland
5 dni temu
WHY JOIN CAPCO?
Employment contract and/or Business to Business - whichever you prefer
Possibility to work remotely
Speaking English on daily basis, mainly in contact with foreign stakeholders and peers
Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
Access to 3.000+ Business Courses Platform (Udemy)
Access to required IT equipment
Paid Referral Program
Participation in charity events e.g. Szlachetna Paczka
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
Being part of the core squad focused on the growth of the Polish business unit
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A work culture focused on innovation and creating lasting value for our clients and employees
ONLINE RECRUITMENT PROCESS STEPS*
Screening call with the Recruiter (30 mins)
Technical interview: first stage (1 hour)
Client Interview (1 hour)
Feedback/Offer
SKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE
min. 3-4 years of experience as a Data Engineer/Big Data Engineer
University degree in computer science, mathematics, natural sciences, or similar field and relevant working experience
Excellent SQL skills, including advanced concepts
Very good programming skills in Python or Scala
Experience in Spark and Hadoop
Experience in OOP
Experience using agile frameworks like Scrum
Interest in financial services and markets
Experience or knowledge with GCP
Fluent English communication and presentation skills
Sense of humor and positive attitude
WHY JOIN CAPCO?
Employment contract and/or Business to Business - whichever you prefer
Possibility to work remotely
Speaking English on daily basis, mainly in contact with foreign stakeholders and peers
Multiple employee benefits packages (MyBenefit Cafeteria, private medical care, life-insurance)
Access to 3.000+ Business Courses Platform (Udemy)
Access to required IT equipment
Paid Referral Program
Participation in charity events e.g. Szlachetna Paczka
Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
Being part of the core squad focused on the growth of the Polish business unit
A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
A work culture focused on innovation and creating lasting value for our clients and employees
ONLINE RECRUITMENT PROCESS STEPS*
Screening call with the Recruiter (30 mins)
Technical interview: first stage (1 hour)
Client Interview (1 hour)
Feedback/Offer
,[Design, develop and maintaining robust data pipelines using SQL, Python, Spark for batch and streaming data processing , Collaborate with cross-functional teams to understand data requirements and design efficient solutions that meet business needs , Implement data ingestion transformation and storage processes leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub. , Optimize Spark jobs and data processing workflows for performance, scalability and reliability , Ensure data quality, integrity and security throughout the data lifecycle , Troubleshoot and resolve data pipeline issues in a timely manner to minimize downtime and impact on business operations , Stay updated on industry best practices, emerging technologies, and trends in big data processing and analytics , Document, design specifications, deployment procedures and operational guidelines for data pipelines and systems , Provide technical guidance and mentorship for new joiners ] Requirements: Big data, Scala, python, Kafka, Degree, SQL, Spark, Hadoop, OOP, GCP Additionally: Private healthcare, Employee referral bonus, MyBenefit, Udemy for business.
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