Data Engineer

Merqube; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work arrangements

Health & wellness programs

Career growth opportunities

Job summary

MerQube in Bengaluru is seeking a Data Engineer to join the Platform Engineering team to modernize and scale our market data and index computation platforms by transforming legacy ETL into a cloud-native AWS data platform.

You will design, build, and operate scalable AWS-based data pipelines and a lakehouse, supporting index construction, analytics, and reporting for global clients.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering or a related field.
• 4–7 years of Data Engineer experience in fintech, trading, or market data domains.
• Strong Python and SQL skills; solid experience with batch and/or streaming ETL pipelines.
• Experience with cloud platforms (preferably AWS) and data orchestration tools like Airflow.

Responsibilities

• Design, build, and maintain large-scale ETL/ELT pipelines to ingest, normalize, and curate market, reference, and vendor data.
• Modernize legacy ETL frameworks into standardized, cloud-native AWS pipelines.
• Build and manage data lakes and analytics-ready datasets using AWS-native services.
• Govern data quality, lineage, and observability to ensure accurate index calculations.
• Collaborate with Product, Index Operations, Research, and Engineering to translate financial logic into scalable data pipelines.

Skills

Python

SQL

ETL pipelines

Airflow

AWS

Big data

Data modeling

Pandas

CI/CD

Education

Bachelor's Degree in Computer Science or related

Tools

AWS

Spark

Kafka

Redshift

Snowflake

Docker

Kubernetes

Job description

About MerQube

MerQube is a cutting-edge fintech firm specializing in the development of advanced technology for indexing and rules-based investing. Founded in 2019 by industry veterans and technology experts, MerQube provides a tech-focused alternative in the indexing space, with offices in New York, San Francisco, and London.

We design and calculate a wide variety of indices, including thematic, ESG, QIS, and delta one strategies, spanning multiple asset classes such as equities, futures, and options. Powered by modern cloud architecture and advanced index-tracking technology, our platform helps clients bring sophisticated ideas to market quickly, securely, and at scale.

Summary

Are you passionate about building robust, scalable data systems that power mission-critical financial platforms? Do you enjoy working hands-on with complex financial datasets, modern data pipelines, and governed data lakes?

We are looking for a Data Engineer to join our growing platform engineering team in Bangalore. You will play a key role in modernizing and scaling MerQube’s core market data and index computation platforms by transforming legacy ETL pipeline into standardized cloud-native AWS data platform.

What you’ll work on?

As part of the Platform Engineering team, you will design, build, and operate scalable AWS-based data pipelines and a resilient lakehouse platform serving both transactional and analytical workloads. Your work will directly support index construction, analytics, research, and reporting used by global clients.

Core responsibilities:

• Design, build, and maintain large-scale ETL/ELT pipelines to ingest, normalize, and curate market, reference, and vendor data
• Modernize legacy ETL frameworks into standardized, cloud-native AWS pipelines
• Build and manage data lakes and analytics-ready datasets using AWS-native services
• Clean, standardize, and govern financial instrument identifiers, mappings, corporate actions, and historical data across vendors
• Design canonical financial data models (facts, dimensions, hierarchies, and mappings)
• Implement data quality checks, lineage, observability, and validation frameworks to ensure accurate index calculations
• Develop data catalogs and inventory systems to improve data discoverability and governance
• Collaborate closely with Product, Index Operations, Research, and Engineering teams to translate financial logic into scalable data pipelines
• Monitor production data systems, troubleshoot issues, and support on-call rotations as needed

What the position requires

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, or equivalent experience
• 4-7 years of experience as a Data Engineer, preferably in fintech, trading, market data, or financial analytics domains
• Strong programming skills in Python and solid SQL expertise
• Hands-on experience building batch and/or streaming ETL pipelines
• Experience working with large, messy, heterogeneous datasets
• Strong understanding of data modeling concepts (fact/dimension models, canonical models, historical versioning)
• Experience with cloud platforms, preferably AWS (S3, Glue, Lambda, Step Functions, Athena/Redshift, CloudWatch, IAM)
• Familiarity with data orchestration tools such as Airflow or similar

Preferred Qualifications

• Experience with Spark or PySpark for large-scale data transformations
• Experience with streaming technologies such as Kafka or similar systems
• Experience working with financial market data providers (e.g., Bloomberg, Refinitiv, Morningstar, Nasdaq)
• Knowledge of financial instruments, corporate actions, and identifiers (ISIN, CUSIP, RIC, etc.)
• Experience building data catalogs, governance layers, or migrating legacy pipelines to cloud-native architectures
• Exposure to containerized environments (Docker, Kubernetes) and modern data warehouses (Redshift, Snowflake, BigQuery, etc.)

Why join MerQube?

We believe in creating an environment where engineers thrive, innovate, and grow. We are proud to offer:

• Competitive compensation packages and Comprehensive benefits
• Flexible working arrangements
• collaborative, community-first culture
• Strong Focus on health, wellness, and work-life balance
• Opportunities to make real impact in fast-scaling fintech platform

Equal Opportunity Employer

MerQube is committed to building a diverse and inclusive workplace. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other legally protected characteristic.