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Data Engineer - Digital Channels

Location: San Francisco
Posted on: September 24, 2022

Job Description:

The Data Engineer will Design, Develop and document Microservices and system components to execute an business function of the larger system. The role will interact with representatives of other cross functional teams to understand and recommend requirements and strategies for the project. Responsibilities: - Work with the business and IT team to understand business problems, and to design, implement, and deliver an appropriate solution using Agile methodology cross the larger program. - Develops well-structured code and test artifacts that reuse subroutines or objects backed by automated tests. - Work independently to implement solutions on multiple platform (DEV, QA, UAT, PROD). - Provide technical direction and reviews to other engineers working on the same project. - Implement and debug subsystems/micro service and components. - Participate in integrated test sessions of components and subsystems on test and production servers. - Follow automate-first/automate-everything philosophy. - Determine and communicate the implications of system-level decisions on subsystems and Components and help determine how best to mitigate or take advantage of these implications. - Perform tasks efficiently and work together with team to ensure project success. - Support management of the team's technical infrastructure (e.g., repository, build system, testing system) under guidance from the systems engineer or another project leader. Requirements: - 5+ years of experience in IT-Software or Software products. - Experience with Informatica code development and maintenance. - Hands on experience with data modeling, locks, database concurrency. - Experience with Data Engineering languages and technologies - AWS Glue, Python, PySpark, Spark, Git, Jenkins CI, aquasec, vericode, etc. - SQL Server, ORACLE, PostgreSQL, Stored Procedure. - Familiar with AWS Technologies - S3, AWS Glue, RDS, Lambda, Cloud Watch, etc. - Kafka and Spark Streaming is nice to have. - Applied knowledge of Object Orientated programming concept (OOPS), Operating System (OS) concept. - Proficient with software Architecture, design patterns and strong demonstrated experience in building frameworks. - Domain Knowledge in Financial Service is a plus. - Bachelor's degree in Computer Science or equivalent.

Keywords: ADDASTAFF CONSULTING, San Francisco , Data Engineer - Digital Channels, Engineering , San Francisco, California

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