Sr Data Engineer

Serverlogic
Serverlogic

Job Overview

As a Senior Data Engineer, you will work with a variety of talented teammates and be a driving force for building first-class solutions for our clients Technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others. Role responsibilities Design and implement features in collaboration with product owners, data analysts, and business partners using Agile Scrum methodology Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes Design and implement distributed data processing pipelines using Spark, Hive, Sqoop, Python, and other tools and languages prevalent in the Hadoop ecosystem Build utilities, user defined functions, and frameworks to better enable data flow patterns Research, evaluate and utilize new technologiestoolsframeworks centered around high-volume data processing Define and apply appropriate data acquisition and consumption strategies for given technical scenarios Build and incorporate automated unit tests and participate in integration testing efforts Work with architectureengineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to Work across teams to resolve operational and performance issues The following qualifications and technical skills will position you well for this role MSBS in Computer Science, or related technical discipline 4+ years of experience in large-scale software development, 2+ years of big data experience Strong programming experience, Python preferred Extensive experience working with Hadoop and related processing frameworks such as Spark, Hive, Sqoop, etc. Experience with RDBMS systems, SQL and SQL Analytical functions Experience with workflow orchestration tools like Apache Airflow Experience with performance and scalability tuning The following skills and experience are also relevant to our overall environment, and nice to have Experience with Scala or Java Experience working in a public cloud environment, particularly AWS Familiarity with cloud warehouse tools like Snowflake Experience with messagingstreamingcomplex event processing tooling and frameworks such as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc. Experience working with NoSQL data stores such as HBase, DynamoDB, etc. Experience building RESTful APIrsquos to enable data consumption Familiarity with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI Familiarity with practices like Continuous Development, Continuous Integration and Automated Testing Experience in AgileScrum application developmentSr Data Engineer 1

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