We are currently in search of a Data Solution Architect to join our dedicated team. In this challenging role, you will be expected to leverage innovative and scalable technology solutions to address complex business needs. If you are a dynamic problem solver with a strong technical background and leadership skills, adept at facilitating project management and working as a team collaborator, we welcome your application.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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Responsibilities
- Craft proposals for the implementation and design of scalable big data architecture
- Engage in customer workshops and present proposed solutions
- Design, implement, and deploy high-performance, custom applications on Hadoop at scale
- Define and develop network infrastructure solutions that address scaling needs and increasing traffic volumes
- Standardize business and development processes, tools, and platforms for data acquisition, storage, transformation, and analysis
- Design roadmaps and implementation strategies for data science initiatives including recommendation engines, predictive modeling, and machine learning
- Conduct audits and reviews of existing solutions, designs, and system architecture
- Profile and troubleshoot existing solutions
- Generate technical documentation
- A minimum of 7 years' experience in Python or Scala development
- At least 2 years in a technical leadership role
- Demonstrated success in at least 2 projects involving ground-up system design and architecture
- A minimum of 1 year as a Data Solution Architect or similar role
- Strong SQL experience
- Demonstrable hands-on experience in ETL and DWH processes
- Past participation in designing, developing, and maintaining a distributed application
- Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, and Cassandra
- Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud
- Experience in client-driven large-scale implementation projects
- Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization, Deep Learning)
- Profound understanding of Agile (Scrum), RUP programming process
- Strong experience in application design, development, and maintenance
- Practical expertise in performance tuning and optimization, bottleneck problem analysis
- Proficient English Communication skills (C1+)
- Solid grasp of design patterns, refactoring concepts, unit tests, and CI/CD
- Experience with vertical and horizontal scaling strategies
- Familiarity with containerization technologies like Docker or Kubernetes
- Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
- Medicina Prepaga (It covers the collaborator and direct family group)
- Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
- Discounts card
- English Training (English lessons, twice per week)
- Training Program (Access to multiple customized training plans according to the needs of each role within the company)
- Marriage bonus (The company doubles the allowance established by law that ANSES offers)
- Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
- External Agreements and Discounts
- Vacations: 14 calendar days a year