Data Solution Architect in Spark/Databricks/Snowflake Remote
Data Solution Architect in Spark/Databricks/Snowflake Description
We are seeking an experienced Data Solution Architect with a strong background in Spark, Databricks, and Snowflake to join our team.
The ideal candidate will design and deploy high-performance, scalable big data architectures and applications. This role involves direct participation in customer workshops, defining network infrastructure solutions, developing roadmaps for data science initiatives, and creating technical documentation to meet our clientele's growing data demands.
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.
#LI-DNI#LI-AP13
Responsibilities
- Develop proposals for the implementation and design of scalable big data architecture utilizing Spark, Databricks, and Snowflake
- Participate in customer workshops and present proposed solutions effectively
- Design, implement, and deploy custom applications at scale on Hadoop and other big data technologies
- Define network infrastructure solutions for scaling demands and traffic
- Streamline business and development processes for data acquisition, storage, transformation, and analysis
- Craft roadmaps and strategies for data science initiatives like prediction models and machine learning
- Review, audit, and improve existing solutions, designs, and system architectures
- Offer technical documentation clearly and efficiently
- Lead technical teams, ensuring adherence to Agile methodologies
- Conduct performance tuning, optimization, and bottleneck problem analysis
Requirements
- Minimum of 7 years of practical hands-on experience in software development
- Knowledge of programming and scripting languages including Python and Scala
- Experience in designing, developing, or maintaining distributed applications
- Proficiency in big data technologies such as Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, Cassandra
- Background in big data solutions within cloud infrastructures such as AWS, Azure Cloud, Google Cloud
- Experience in managing large-scale client-driven implementation projects
- Expertise in design patterns, refactoring, unit testing, and CI/CD
- Skills in applications design, development, and maintenance
- Competency in performance tuning, optimization, and troubleshooting
- Qualifications in Object-Oriented Analysis and Design
- Fluent English communication skills at a B2+ level
We offer
- 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
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