| Immediate opening for Senior Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Vinni, Indus AiLabs [email protected] Reply to: [email protected] Hello, Hope you are doing good Please find the below job description and revert with suitable profiles. Role-Senior Data Engineer (10 + years experience) Duration- 6 months possibility of an extension Location -100% remote (Team located in New York, NY (Locals or EST Candidates Only)) Visa -USC, GC (Genuine Candidates) Must share References Key Responsibilities: Lead construction, maintenance, & optimization of data pipelines. Drive Automation through effective metadata management, using innovative and modern tools, techniques, and architectures to improve productivity. Lead renovation of the data management infrastructure to drive automation in data integration and management. Collaborate with multiple Analytics Centre of Excellence teams and EIM team in refining their data requirements for various DNA initiatives and data consumption requirements. Identify gaps in new data initiatives and how to address new data requirements. Transfer knowledge of data and/or domain understanding in addressing new data requirements. Propose appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques to optimize data requirements. Work with data governance teams to ensure data scientists and consumers use corresponding data responsibly through data governance and compliance initiatives. Design and implement data quality monitoring systems, which includes source-to-target data validations as well as anomaly detection. Mandatory Qualifications: Bachelor's degree/master's degree/advanced from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study. Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies Agile Software development methodologies Minimum 10 years of work experience in data management disciplines, including data integration, modelling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks. Minimum 2 years designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse Minimum 10 years of hands-on experience designing and implementing production grade data warehousing solutions on large scale databases such as SQL Server, Oracle or DB2 5+ years data pipeline development experience with Informatica Power-Centre and IBM DataStage 3+ years of experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala, others. 3+ years of experience with Shell/Perl Scripting 5+ years of experience with popular database programming languages including SQL, PL/SQL (required), others for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases (preferred) like MongoDB, Cassandra, others for non-relational databases. Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications. Operations Specialty requires supervisory experience (5 years). Network Services requires a telecommunications background and experience. Broad knowledge and expertise in the characteristics of computers, peripheral devices, communications systems and hardware capabilities, programming languages, E.D.P. applications, systems analysis methodology, data management and retrieval techniques; or A satisfactory equivalent combination of training, education, and experience. Years of Experience: Five (5) years of progressive, responsible experience in the field of data processing, computer systems, and applications. Operations Specialty requires supervisory experience (5 years). Desirable Qualifications: Preferred experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms. Full Lifecycle Data Warehouse, Data Mart Development experience is a big plus. Preferred experience with any automation tool such as AutoSys. _____________ Thanks & Regards, Vinni |Technical Recruiter Indus AiLabs Phoenix, AZ, USA 85004 Email: [email protected] Website: www.indusailabs.com Keywords: cplusplus rlang green card procedural language Arizona New York |
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| Tue Dec 19 22:51:00 UTC 2023 |