Tata Consultancy Services
Software Senior Engineer Job at Tata Consultancy Services in Cupertino
Tata Consultancy Services, Cupertino, CA, US, 95014
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2-5 years as data scientist, data engineer or analyst. Battery Engineering experience desired. Working knowledge and experience with big data.
Strong working knowledge of Python, Unix tools, Perl, Github and Tableau. Basic knowledge of SQL databases, TCP/IP commands, Minitab, JMP and in bash/Perl environment.
Candidate must have solid competency in statistics and the ability to provide value-added analysis.
Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver best solution to the problem. Familiarity with database modeling and data warehousing principles.
Experience in designing and building data models to improve accessibility, efficiency, and quality of data. Improve ETL efficiency
Desirable for experience with Apple OS, such as iOS, MacOS, etc.
Key Qualifications
2-5 years as data scientist, data engineer or analyst. Battery Engineering experience desired. Working knowledge and experience with big data.
Strong working knowledge of Python, Unix tools, Perl, Github and Tableau. Basic knowledge of SQL databases, TCP/IP commands, Minitab, JMP and in bash/Perl environment.
Candidate must have solid competency in statistics and the ability to provide value-added analysis.
Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver best solution to the problem. Familiarity with database modeling and data warehousing principles.
Experience in designing and building data models to improve accessibility, efficiency, and quality of data. Improve ETL efficiency
Experience building scalable data pipelines using Spark, Hadoop, etc. preferred
Desirable for experience with Apple OS, such as iOS, MacOS, etc.
Job Description
Write Python programs to implement Machine Learning functions and maintain revision in Github. Utilize advanced technologies, for modeling enhancements
Build a high-quality BI and Data Warehousing framework, implementing and operating data pipelines with an understanding of ML lifecycles
Understand end to end nature of Apple DB to organize proper sample size, proper key pull and minimize SQA issues with maximum efficiency
Drive development of data products in collaboration with data scientists and analysts. Automate reporting where possible to make team more efficient
Be able to analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems.
Work with diverse teams including data scientists, engineers, product managers and executives;
Deliver high quality analytic insights from a very data warehouse
Provide ad-hoc reporting as necessary (sometimes urgent escalation)
Develop test scripts for various Apple devices.
Maintain continuous operation of hundreds of Apple devices in labs.
Write programs for data filtering, organization, reporting. Write programs for uploading to and maintaining data in SQL database. Develop basic data management and selection programs on SQL.
Maintain software traceability through GitHub
Salary Range: $85,400-$150,000 a year Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries IT Services and IT Consulting
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