What are the responsibilities and job description for the Data Engineer + Gen AI (In-Person @ NYC) position at NucleusTeq?
Role Data Engineer Gen AI
Location NYC (Hybrid)
Duration: 12 Months
Interview Mode In-Person Interview
Company Description
NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. Please have a look at NucleusTeq Website and its product. We are Phoenix based company with offshore center in Indore, Raipur & Bhilai and people are working from various parts of India likewise Delhi-NCR, Pune, Bengaluru & Hyderabad etc.
Tech Stack Data Engineering with PySpark Data Pipeline Orchestration Tool like Airflow & Glue or similar , AI / Agentic AI, FastAPI, Google Cloud Platform, Flask, Python, SQL, Docker & Kubernetes, Fast API
Responsibilities:
- As a Data Engineer, you'll be responsible for designing and building high performance, and scalable data platforms
- You will be leading team of multiple very enthusiastic and skilled engineers to drive the product development and adoption
- You will be required to effectively collaborate with product teams from business group and understand the product roadmap and vision and translate that into engineering artefacts
- You will work with a variety of teams and individuals, including platform engineers, usecase owners, analytical users to understand their needs and come up with innovative solutions
- You will follow the Amex-way of building engineering products that leads to engineering excellence by adopting DevOps principals
Qualifications:
- Bachelor's degree in computer science, Engineering, or a related field. Master's degree would be a plus
- Great to have:- Google Cloud Platform professional certification - Data Engineer/Cloud Architect will be preferable
- Experience with Google Cloud Platform services (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).
- 6 years of software development experience with hands-on expertise in coding in Java/Python/Scala.
- 3 years of experience in creating low code/no code ETL tool for setting up large scale data transformation on Google Cloud Platform Cloud
- Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive , MySQL , Postgres etc. Proficiency in working with NoSQL databases as well
- Experience working with Spark , Big Data and Hive
- Experience in Git Management including PR reviews, maintaining code hygiene
- In-depth understanding of data warehousing concepts, dimensional modelling, and data integration techniques
- Experience in optimizing high volume data processing jobs.
- 3 years experience in writing APIs
- Knowledge of High availability and DR setup.
- Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)
- Experience working in Agile/SAFe framework for development
- Understanding of Generative AI concepts, including LLMs (Large Language Models), prompt engineering, embeddings, and vector databases.
- Experience integrating GenAI capabilities into data platforms (e.g., semantic search, AI-driven analytics, automated data insights).
- Excellent communication and analytical skills
- Excellent team-player with ability to work with global team
Salary : $12 - $100