Data Engineer for Quant Finance Pipeline

at Capital Squared

Data Engineer for Quant Finance Pipeline

Capital Squared

Company

Home

Data Engineer for Quant Finance Pipeline

at Capital Squared

Posted by Hiring Team

5 - 10 yrs

₹25L - ₹55L / yr

Remote only

Skills

Data engineering

Databases

Python

SQL

PostgreSQL

Redis

Google Cloud Platform (GCP)

Docker

Apache Airflow

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

We are seeking a data engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build robust, production-grade data infrastructure and grow with a small, focused team. You will own the data layer that feeds our machine learning pipeline—from ingestion and validation through transformation, storage, and delivery.

The ideal candidate is meticulous about data quality, thinks deeply about failure modes, and builds systems that run reliably without constant attention. You understand that downstream ML models are only as good as the data they consume.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency. You write clean, maintainable code for data pipelines—not throwaway scripts. Comfortable with Pandas, NumPy, and their performance characteristics. You know when to use Python versus push computation to the database.

SQL (Required): Advanced SQL skills. Complex queries, query optimization, schema design, execution plans. PostgreSQL experience strongly preferred. You think about indexing, partitioning, and query performance as second nature.

Data Pipeline Design (Required): You build pipelines that handle real-world messiness gracefully. You understand idempotency, exactly-once semantics, backfill strategies, and incremental versus full recomputation tradeoffs. You design for failure—what happens when an upstream source is late, returns malformed data, or goes down entirely. Experience with workflow orchestration required: Airflow, Prefect, Dagster, or similar.

Data Quality (Required): You treat data quality as a first-class concern. You implement validation checks, anomaly detection, and monitoring. You know the difference between data that is missing versus data that should not exist. You build systems that catch problems before they propagate downstream.

WHAT YOU WILL BUILD

Data Ingestion: Pipelines pulling from diverse sources—crypto exchanges, traditional market feeds, on-chain data, alternative data. Handling rate limits, API quirks, authentication, and source-specific idiosyncrasies.

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Preference for candidates with experience in financial or crypto data—understanding market data conventions, exchange-specific quirks, and point-in-time correctness. You know why look-ahead bias is dangerous and how to prevent it.

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Role: Full-Time, Long-Term Required: Python, SQL Preferred: Experience with financial or crypto data

OVERVIEW

CORE TECHNICAL REQUIREMENTS

WHAT YOU WILL BUILD

Data Validation: Checks ensuring completeness, consistency, and correctness. Schema validation, range checks, freshness monitoring, cross-source reconciliation.

Transformation Layer: Converting raw data into clean, analysis-ready formats. Time series alignment, handling different frequencies and timezones, managing gaps.

Storage and Access: Schema design optimized for both write patterns (ingestion) and read patterns (ML training, feature computation). Data lifecycle and retention management.

Monitoring and Alerting: Observability into pipeline health. Knowing when something breaks before it affects downstream systems.

DOMAIN EXPERIENCE

Time series data at scale—hundreds of symbols with years of history, multiple frequencies, derived features. You understand temporal joins, windowed computations, and time-aligned data challenges.

High-dimensional feature stores—we work with hundreds of thousands of derived features. Experience managing, versioning, and serving large feature sets is valuable.

ENGINEERING STANDARDS

Reliability: Pipelines run unattended. Failures are graceful with clear errors, not silent corruption. Recovery is straightforward.

Reproducibility: Same inputs and code version produce identical outputs. You version schemas, track lineage, and can reconstruct historical states.

Documentation: Schemas, data dictionaries, pipeline dependencies, operational runbooks. Others can understand and maintain your systems.

Testing: You write tests for pipelines—validation logic, transformation correctness, edge cases. Untested pipelines are broken pipelines waiting to happen.

TECHNICAL ENVIRONMENT

PostgreSQL, Python, workflow orchestration (flexible on tool), cloud infrastructure (GCP preferred but flexible), Git.

WHAT WE ARE LOOKING FOR

Attention to Detail: You notice when something is slightly off and investigate rather than ignore.

Defensive Thinking: You assume sources will send bad data, APIs will fail, schemas will change. You build accordingly.

Self-Direction: You identify problems, propose solutions, and execute without waiting to be told.

Long-Term Orientation: You build systems you will maintain for years.

Communication: You document clearly, explain data issues to non-engineers, and surface problems early.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Engineering. Equivalent demonstrated expertise also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a data pipeline you built and maintained, (3) Links to relevant work if available, (4) Availability and timezone.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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About Capital Squared

Founded :

2025

Type :

Product

Size :

0-20

Stage :

Raised funding

About

At Capital Squared, our quant fund harnesses machine learning and deep learning to smartly invest in digital assets, aiming for consistent growth.

Company social profiles

N/A

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Algorithms

Python

About Company Wheelseye offers technology to empower truck fleet owners. Our software helps save costs, build safe and secure infrastructure, automate operations and streamline their business. We provide end to end technology backend from basic things like GPS live location tracking to complex tasks like driving profitability and automation in their business. Our Software as a Service enables data driven decision making by reading a number of connected peripherals. We are a young and energetic team of IIT graduates comprising of Alums from Snapdeal, Shuttl, Ola, Times, Zomato, ClearTax, Blackbuck,Abu Dhabi Financial Group, OYO , having rich industry and technology experience. It is our constant endeavour to create and evolve data-driven software solutions that conquer logistic business problems and inspire smarter data driven decision making. About Role Backend Engineers at Wheelseye are a small group of people who directly impact the daily lives of 100s of truckers nationally. As a backend engineer, you are the architect, designer and coder of your project. In addition, you work closely with the product team to make vision become reality. You are dynamic and able to work well both independently and as part of a team. Backend engineers at Wheelseye are building the next-generation technologies that change the way how logistics industry connect, explore, and interact with information and one another. Our software absorbs, handles & processes data at massive scale. We're looking for ace humans and experienced engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Responsibilities ● Design, develop, test, deploy, maintain and improve software. ● Manage individual project priorities, deadlines and deliverables. ● Server side of our web applications. Eligibility ● 3-6 Years of Experience in Backend technology ● Excellent programming skills and a passion for developing applications or improving existing ones ● Strong OOPS concepts ● Algorithms, DS, Problem Solving & Analytical Approach in Solutions ● Experience with JAVA, Spring and other concepts of programming in JAVA(Good to have) ● Strong object-oriented, database design and SQL skills ● Interest and ability to learn other coding languages as needed

Customer Success Manager

at Armada Intelligence Inc

2 recruiters

Posted by Ankit Boraniya

Ahmedabad

2 - 4 yrs

₹3L - ₹5L / yr

Customer Success

Analytics

Customer Retention

Customer Support

YOU : * Have startup (all-hands-on-deck) attitude; prior experience in startup, tech startup preferred * Have at least a year of experience in the customer-facing role; customer success, account management, or customer support experience is a plus * Are excellent writer and communicator with strong presentation skills both via phone and email * Are able to learn new concepts and processes quickly * Are willing to relocate to Ahmedabad, Gujarat YOU PROBABLY HAVE: * Ability to proactively identify and solve any issues that could affect customer satisfaction or retention * Used analytics/CRM tools like Intercom, Mixpanel, Piwik * Strong analytical skills to capture insights on how the customer is interacting with the platform * Excellent English skills, both written and spoken * Knack of speaking and communicating with people YOU WILL: * Take ownership of customer accounts and manage their onboarding, success, and retention; assist with renewals processes when necessary * Provide support to new and existing Armada customers * Coach customers on new uses and best practices for Armada to drive adoption and retention * Provide timely and thoughtful responses to client questions and requests * Communicate with engineering and product teams to make the system efficient

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