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Senior Data Software Engineer
Job description
We are seeking a Senior Data Software Engineer. If you are looking to give your career a real boost with a global leader in digital transformation, EPAM is the perfect choice. If you’d like to learn more about this position and project, apply now.
Responsibilities
Design, construct, install, test and maintain highly scalable and optimized data pipelines with state-of-the-art monitoring and logging practices Bring together large, complex, and sparse data sets to meet functional and non-functional business requirements and use a variety of languages, tools and frameworks to marry data Design and implement data tools for analytics and data scientist team members to help them build, optimize, and tune use cases Tackle challenging and varied problems related to gaining further maturity in Data Platform tools, processes, and engineering capabilities Focus on engineering excellence to deliver high-quality solutions that provide leverage for the company's objectives Requirements 3+ years of hands-on experience with data processing-focused projects Proficiency in Java/Python/Scala and SQL Knowledge of Apache Spark Experience with one of the major cloud providers: AWS, Azure, or GCP Hands-on experience with selected data processing technologies, e.
g., Hadoop, MongoDB, Cassandra, Kafka, Elasticsearch, Python libraries (Pandas/Num. Py/etc.), and data processing tools of cloud providers (EMR, Glue, Data Factory, Big Table, etc.) Relevant experience with version control and code review Understanding of Agile methodologies Basic knowledge of Linux and Bash scripting Fluency in English, both written and spoken, at a minimum B2 level Nice to have Good hands-on experience with Databricks and Delta Lake Ability to build Apache Airflow pipelines Experience with the Snowflake platform
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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