| Hiring : Data Strategy Software Engineer IN NYC, NY Hybrid at NYC, New York, USA |
| Email: [email protected] |
| From: Aftab, convextech [email protected] Reply to: [email protected] Hope you are doing good.!! Please let me know if you are interested in the below position.!! Position : Data Strategy Software Engineer Location : NYC, NY/ Hybrid Duration : 6+MONTH Visa: USC /GC Interview mode: Interview : video Job Description *Must have LinkedIn page Must Have: 5-8+ years of relevant experience in data-focused software engineering. 2+ years of data analysis, AI, or data science work. Azure DevOps, Databricks, and data visualization/dashboarding implementing and maintaining CI/CD pipelines Python-based server-side web frameworks like FastAPI or Django Spark, Python, JSON, and SQL Python, FastAPI, Django, SQL, CI/CD, Azure DevOps, GitLab, Travis, Jenkins, Data Analysis, Data Science, AI, (py)Spark, ELT/ETL Frameworks, Web Scraping, Crowdsourcing, Databricks, Optimizing Spark Clusters, PowerBI, Tableau Header: AIG is searching for a Senior Software Engineer, who can be based in our New York City office in a hybrid schedule. Masters Degree or Ph.D. in data science, computer science, or related quantitative field such as applied mathematics, statistics, engineering or operations research, or equivalent experience. 5-8+ years of relevant experience in data-focused software engineering. 2+ years of data analysis, AI, or data science work. Python-based server-side web frameworks like FastAPI or Django. Extensive experience with (py)Spark, Python, JSON, and SQL Data cleaning, enrichment, and reporting to business users SQL and NoSQL database systems SQL and familiarity with the high-level properties of modern data stores. Data visualization dashboarding tools (PowerBI, Tableau). Databricks and optimizing Spark clusters MS Azure cloud environment Strong interest in learning about LLMs (Large Language Models) in a productized context, entity resolution, streaming technologies, ELT/ETL frameworks, web scraping, crowdsourcing technologies, Databricks, and optimizing Spark clusters. Good interpersonal and communication skills. QUALIFICATIONS: 5-8+ years of relevant experience in data-focused software engineering Masters Degree or Ph.D. in data science, computer science, or related quantitative field such as applied mathematics, statistics, engineering or operations research, or equivalent experience. Experience working with Python-based server-side web frameworks like FastAPI or Django Strong knowledge of SQL and familiarity with the high-level properties of modern data stores. Strong understanding of the contemporary SDLC, including dev/QC/prod environments, unit/integration/UA testing, CI/CD, etc. Experience building and maintaining CI/CD pipelines with tools such as Azure DevOps, GitLab, Travis, Jenkins, etc. 2+ years of data analysis, AI, or data science work. Experience with data cleaning, enrichment, and reporting to business users. Extensive experience with (py)Spark, Python, JSON, and SQL. Experience integrating data from semi-structured and unstructured sources. Knowledge of various industry-leading SQL and NoSQL database systems. Experience with or strong interest in learning about LLMs in a productized context. ADDITIONAL QUALIFICATIONS: Strong understanding of entity resolution, streaming technologies, and ELT/ETL frameworks. Experience with web scraping and crowdsourcing technologies. Experience with Databricks and optimizing Spark clusters. Experience architecting web ecosystems from the ground up, including monolith vs. microservice decisions, caching technologies, security integrations, etc. Experience working with data visualization dashboarding tools (PowerBI, Tableau). Insurance domain knowledge or strong interest in developing it. Experience with the MS Azure cloud environment. MD AFTAB ALAM US IT Recruiter ConvexTech Inc. Direct : 4693007818 ext-412 Email : [email protected] Keywords: continuous integration continuous deployment artificial intelligence information technology green card microsoft Maryland New York |
| [email protected] View all |
| Tue Jan 09 02:58:00 UTC 2024 |