| Looking for EDW Data Engineer :no H1B or CPT at Remote, Remote, USA |
| Email: [email protected] |
| From: Nitu, RCI [email protected] Reply to: [email protected] Role: EDW Data Engineer Location : Hybrid San Jose, CA Duration: 6+Month Must Haves: LinkedIn Profile and great experience with SQL JOB Description: The Senior EDW Data Engineer builds and maintains a data pipeline infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL , cloud based relational or non-relational databases and employing Talend and/or scripting languages like Perl/Python. Primary Responsibilities: Lead analysis, design, development, and deployment of complex data platforms and pipelines across functional teams involving multiple integration and other technologies to meet committed deliverables Partner and collaborate with business and IT stakeholders to deliver solutions to meet the business needs with quality and within the defined timeline With minimal supervision, build and maintain complex data platforms and large scale CI/CD data pipelines utilizing a variety of technologies (REST APIs, TeamCity, Jenkins) and cloud databases (Snowflake) Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Partner with data and analytics experts to strive for optimal functionality in our data integration platform Collaborate on a day to day basis with business partners, architects and technical teams to identify, troubleshoot and resolve enterprise data warehouse issues Resolve data issues by identifying multiple potential solutions and assessing them for both technical and business suitability, and work closely with all stakeholders (including technical peers and end users) to ensure technical compatibility and user satisfaction Follow established best practices guidelines related to enterprise data warehouse configuration and change control processes As a subject matter expert, mentor less experienced Data Engineers on a day to day basis Conduct performance testing, tune and optimize data pipelines to meet the SLAs Experience and Education Requirement: Minimum Education: Bachelors degree in Information Technology, Computer Science or other related fields of study Minimum 6 years of developing data pipelines using TalendInformatica and Python including the processing of NoSQL and JSON, XML formats, preferably in the financial services industry using Agile development process Advanced working experience in SQL/PL-SQL, Snowflake, API Excellent skills in scripting languages, including Python, Perl and Shell Excellent skills with Ant, Maven, GIT, Jenkins, TeamCity Excellent skills in source code repository tools such as Clear Case, SVN, CVS, and Gi. Deep understanding of ETL, ELT, Talend, Informatica, Hadoop, data warehousing schema and Cloud platforms Ability to work autonomously to manage time effectively and prioritize work appropriately to meet deadlines Excellent problem solving and critical thinking skills Strong business communication skills; able to write/speak clearly and professionally for a variety of audiences Demonstrate independence, creativity, and initiative Working knowledge of Microsoft Office Suite Keywords: continuous integration continuous deployment information technology procedural language California |
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| Sat Jan 21 02:41:00 UTC 2023 |