SENIOR DATA SOFTWARE ENGINEER (SNOWFLAKE)

80.000.000 - 120.000.000


Senior Data Software Engineer (Snowflake) 2 days ago Be among the first 25 applicants 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. We are seeking a talented Senior Big Data Engineer to join our remote team, working on a cutting-edge project that involves designing, developing, testing, and maintaining ETL/ELT solutions. In this position, you will be responsible for creating and maintaining data integration processes and data pipelines using various API frameworks and Amazon Web Services tools. You will also work closely with other groups and stakeholders to align reporting metrics and ensure data accuracy and integrity. If you are passionate about big data and have a proven track record of delivering high-quality solutions, we invite you to join our team. Responsibilities

Design, develop, test, and maintain ETL/ELT solutions for the project Create and maintain data integration processes and data pipelines using various API frameworks and Amazon Web Services tools Tune database queries to optimize query performance Collaborate with various groups and stakeholders to align reporting metrics and ensure data accuracy and integrity Provide technical guidance and support to junior team members

Requirements

Minimum of 3 years of experience in Data Software Engineering, with a focus on Snowflake solutions and data integration Expertise in Amazon Web Services, and Python Experience with REST API, and SQL Strong experience in developing and maintaining data pipelines and ETL/ELT solutions using various API frameworks and Amazon Web Services tools Experience in tuning database queries to optimize query performance Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams Strong problem-solving skills and the ability to work independently Fluent spoken and written English at an upper-intermediate level or higher

Nice to have

Experience with Big Data technologies such as Hadoop, Spark, or Kafka Experience with data warehousing and data modeling Experience with containerization technologies such as Docker and Kubernetes Knowledge of machine learning and data science concepts

We offer

International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn







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