designing and building high performance, and scalable data platforms
leading team of multiple very enthusiastic and skilled engineers to drive the product development and adoption
effectively collaborating with product teams from business group and understand the product roadmap and vision and translate that into engineering artefacts
working with a variety of teams and individuals, including platform engineers, usecase owners, analytical users to understand their needs and come up with innovative solutions
following the Amex-way of building engineering products that leads to engineering excellence by adopting DevOps principals

Bachelor's degree in computer science, Engineering, or a related field.
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
Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive , MySQL , Postgres etc.
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.
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

Master's degree would be a plus
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.).
Proficiency in working with NoSQL databases as well
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.)

Hybrid

Structure: leading team of multiple very enthusiastic and skilled engineers

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.

NucleusTeq is hiring a Data Engineer + Gen AI (In-Person @ NYC)