Data Engineer

Data Engineer

Experience: 2 - 4 Years Exp

Salary: Competitive

Preferred Notice Period: 30 Days

Shift: 9:00 AM to 6:00 PM IST

Opportunity Type: Office (Gurugram)

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Python and Airflow and Elasticsearch

Trademo (One of Uplers' Clients) is Looking for:

Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

What will you be doing here?

• Responsible for the maintenance and growth of a 50TB+ data pipeline serving global SaaS products for businesses, including onboarding new data and collaborating with pre-sales to articulate technical solutions
• Solves complex problems across large datasets by applying algorithms, particularly within the domains of Natural Language Processing (NLP) and Large Language Models (LLM)
• Leverage bleeding-edge technology to work with large volumes of complex data
• Be hands-on in development - Python, Pandas, NumPy, ETL frameworks.
• Preferred exposure to distributed computing frameworks like Apache Spark , Apache Kafka, Apache Airflow, Elasticsearch
• Along with individual data engineering contributions, actively help peers and junior team members on architecture and code to ensure the development of scalable, accurate, and highly available solutions
• Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team.

Requirements:

• B-Tech/M-Tech in Computer Science from IIT or equivalent Tier 1 Colleges.
• 3+ years of relevant work experience in data engineering or related roles.
• Proven ability to efficiently work with a high variety and volume of data (50TB+ pipeline experience is a plus).
• Solid understanding and preferred exposure to NoSQL databases, including Elasticsearch, MongoDB, and GraphDB.
• Basic understanding of working within Cloud infrastructure and Cloud Native Apps (AWS, Azure, IBM , etc.).
• Exposure to core data engineering concepts and tools: Data warehousing, ETL processes, SQL, and NoSQL databases.
• Great problem-solving ability over a larger set of data and the ability to apply algorithms, with a plus for experience using NLP and LLM.
• Willingness to learn and apply new techniques and technologies to extract intelligence from data, with prior exposure to Machine Learning and NLP being a significant advantage.
• Sound understanding of Algorithms and Data Structures.
• Ability to write well-crafted, readable, testable, maintainable, and modular code.

Desired Profile:

• A hard-working, humble disposition.
• Desire to make a strong impact on the lives of millions through your work.
• Capacity to communicate well with stakeholders as well as team members and be an effective interface between the Engineering and Product/Business team.
• A quick thinker who can adapt to a fast-paced startup environment and work with minimum supervision

What we offer:

At Trademo, we want our employees to be comfortable with their benefits so they focus on doing the work they love.

• Parental leave - Maternity and Paternity
• Health Insurance
• Flexible Time Offs
• Stock Options

How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply! And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in Palo-Alto, US. Trademo collects public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG and other events using its proprietary algorithms.

About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!