SR DATA ENGINEER

Data EngineerVisa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. Tax Terms: W2, 1099 Corp-Corp or 3rd Parties: Yes San Francisco, CA (remote for now)Skill Description - Spark & PythonDescription/Comment: Data Engineer to build data pipelines to ingest the data from multiple source systems Palantir Foundary platform.Experience: 7 to 10 yearsRequired Skills:Technical Skills: Python, SparkDomain Skills:Nice to have skills:Technical Skills:Domain Skills:Technology: DTDTMG8888887Shift: DayRoles & Responsibilities:Technical Lead Bachelors in science engineering or equivalent. Understand requirements build codes support testing and fix defects guide developers in the course of development activities in order to develop high standard stable codes within the limits of Cognizant and clients processes standards and guidelines.Project Planning and Set-up:Understand the project scope identify activities/ tasks task level estimates schedule dependencies risks and provide inputs to Module Lead for review Provide inputs to testing strategy configuration deployment hardware/software requirement etc. Review plan and provide feedback on gaps timeline and execution feasibility etc. as required in the project Participate in KT sessions conducted by customer/ other business teams and provide feedback on requirementsRequirement Understanding and Analysis:Analyze functional/non functional requirements and seek clarifications for better understanding of requirements Based on understanding of system - upstream & downstream provide feedback and inputs on gaps in requirements and technical feasibility of requirementsDesign:Prepare the LLD/ detailed design documents based on HLD and briefing from Module Lead Seek inputs from the developers on specific modules as applicable Consolidate all modules and provide to Module Lead/ Architects/ Designers for review Suggest changes in design on technical grounds Develop components inventory for the code to be developed tying it to the non-functional requirements Perform sampling of data to understand the character/ quality of the data (project dependent- in the absence of data analyst or designer) Identify tools and technologies to be used in the project as well as reusable objects that could be customized for the projectCoding:Follow coding standards and best practices to develop code and check code quality Share developed code with supervisor for review Rework on the code based on inputs if required