Senior Data/ML Engineer (Fintech Startup)

Senior Data/ML Engineer (Fintech Startup)

Experience: 4+ years

Salary: Upto INR 30,00,000 / year

Expected Notice Period: 2 to 4 Weeks

Shift: 11:00AM to 8:00PM IST

Opportunity Type: Onsite (Mumbai)

Placement Type: Permanent

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

What do you need for this opportunity?

Must have skills required :

AWS, NoSql, Python, SQL, Data Pipelines, ETL, S3

Good to have skills :

Data Structures, Database Schemas, Distributed Computing, Glue, Ml Deployment, MongoDB, Parallel Computation

Our Hiring Partner is Looking for:

Senior 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.

Roles & Responsibilities

Data Sutram is an AI-driven Intelligence platform that collects data from 250+ sources to help enterprises make decisions on their customers at every point of their lifecycle.

Our products are being used by enterprises in the BFSI & CPG sectors to find new customers, validate their identity, and identify upsell or cross sell opportunities.

It is one of the fastest growing companies in the space of AI & Consumer Intelligence in India and is funded by IAN, IIFL, Varanium Capital, White Ventures, 100x.VC & several other investors.

About the Team

Data Sutram was founded by Rajit, Aisik & Ankit - recognised by Forbes as top 30 under 30 in Enterprise Technology.

The three-year old company today has 80+ members from across the country including senior executives who have worked in reputed organizations like ICICI, SBI, Microsoft, Yahoo, PWC, Gartner etc.

Why work at Data Sutram

If your dream job includes building a deep-tech company out of India that could potentially cater to the needs of the world, you are in the right place.

If not, here are some other, more specific incentives that makes DS a great workplace (even if we say so ourselves) for you:

• If you are looking to have a large impact at a fast growing company and work with a high performance team.
• If you prefer freedom with responsibility over predetermined hierarchies.
• If you have a candid and transparent approach to problems- and you seek excellence in whatever you do. [We need you to WANT to do a good job].
• If you like being challenged- and want to tackle problems that have not been solved.
• Most importantly, if you have empathy and you understand not just how to do a job, but build solutions that could impact millions of lives.

About the Role :Senior Data Engineer

The Senior Data Engineer will be a key member of the Product Team. They will be responsible for planning and execution of Data ETL Pipelines and also play an important role in maintenance of existing data pipelines.

Responsibilities

• Collaborate with cross-functional teams to identify data sources and requirements.
• Design and implement data ingestion pipelines to collect data from various sources, including databases, APIs, and streaming platforms.
• Develop and maintain ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.
• Automate routine data tasks to improve efficiency and reliability.
• Implement data security measures to protect sensitive data and ensure compliance with regulatory requirements.
• Design data solutions that can scale to accommodate growing data volumes.
• Involve in deployment of ML models from Data Scientists into production

Skill Requirement

Must have -

• Advanced Proficiency in Python Coding
• Experience in working with both SQL and NoSQL Databases(Postgres, MongoDB, DynamoDB)
• Experience in working with AWS services like S3, Lambda, Glue, EMR
• Experience in handling different file formats like csv, tsv, json and parquet
• Hands on experience in creating and maintaining ETL data pipelines
• At least 4 years prior experience working as a Data/ML Engineer at FinTech Startups or Data Analytics companies
• Understanding of Basic ML models and Statistical Analytics

Good to have-

• Proficiency in parallel computation techniques
• Experience in setting up distributed computing environments(Spark, Dask)
• Good Data Structure and Algorithm Knowledge,
• Experience in designing Database/Data Warehouse Schemas.
• Experience in Deploying ML Models into production.
• Knowledge of optimizing Database Setups and configuration

How to apply for this opportunity?

1. Register or login on our portal
2. Click 'Apply,' upload your resume and fill in the required details.
3. Post this click Apply Now' to submit your application.
4. Get matched and crack a quick interview with our hiring partner.
5. Land your global dream job and get your exciting career started!

About our Hiring Partner:

We empower enterprises with Answers On Smart & Safe Growth powered by external intelligence. We envision a future where consumers experience exceptionally personalised services from across enterprises; be it banks, retail chains, insurance companies or others.

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

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!