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Data Solution Architect in Spark/Databricks/Snowflake

Remote:

Full Remote

Salary:

15 - 171K yearly

Experience:

Senior (5-10 years)

Work from:

Chile

Offer summary

Qualifications:

Minimum of 7 years in software development, Proficiency in Python and Scala, Experience with big data technologies, Background in cloud infrastructures.

Key responsabilities:

Design scalable big data architecture
Participate in customer workshops and present solutions

EPAM Systems XLarge http://www.epam.com

10001 Employees

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Job 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.

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

Improved medical coverage - EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation
Lunch Allowance - You will receive a daily allowance of CLP $ 7.000 per working day. Enjoy a nice meal on us
Allowance for internet and electricity - You will receive an allowance of CLP$15.000 per month to cover internet and electricity expense
National Holiday Bonus - We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September
Christmas Bonus - You will receive an End of Year bonus of CLP $170,539. It will be paid during the month of December, to ensure you have a Happy Holiday!
Learning Culture - We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally
Additional Income - Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways
Are you open to relocation? - If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home