Senior/Staff Data Engineer

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Senior/Staff Data Engineer

  • Telangana (TG), India
  • Huntsman
  • Work From Office
Apply Before: 01-Jan-2027

Job Overview

Company   Huntsman
Location   Telangana (TG), India
Job Type   Full Time
Salary   15000/MONTH
Experince   2 /Years
Education   Bachelor's (Preferred)
Is Remote | Office   Work From Office
Website   Apply now

Job Title: Lead Data Engineer – Client Interactions & Insights Platform

Location: Hyderabad, Telangana, India (Hybrid Work Model)
Job Type: Full-time
Benefits: Flexible schedule, Health & Life insurance, Stock options, Flexible working hours, Equipment of choice, Employee investment discounts


About Endowus

Endowus is Asia’s leading fee-only digital wealth platform. Licensed by the Monetary Authority of Singapore (MAS) and the Hong Kong Securities & Futures Commission (SFC), Endowus is the first digital advisor in the region that spans both private wealth (Cash) and public pension savings (CPF & SRS in Singapore). Endowus empowers investors with institutional-level financial solutions, expert advice, and low, transparent fees.

With over US$6 billion in group assets under management and US$95 million in funding from top-tier investors like UBS, SoftBank Ventures Asia, Singtel Innov8, and Lightspeed Venture Partners, Endowus is recognized across Asia for its leadership in digital wealth management.

Awards & Recognition Include:

  • Singapore’s Fintech Startup of the Year (The Asset Triple A Digital Awards 2022)

  • WealthTech of the Year (Asia FinTech Awards 2022)

  • Forbes Asia 100 to Watch

  • LinkedIn Top Startups 2021

  • Top 100 Asia’s Best Workplaces 2022 (Great Place to Work)


About the CIIP Team

The Client Interactions & Insights Platform (CIIP) team builds the core data platform that powers analytics, decision-making, and business intelligence across Endowus. This cross-functional, full-stack team works with departments like Data Analytics, Marketing, Growth, and Operations to provide reliable, near real-time access to internal and third-party data insights.


Role Overview

As the Lead Data Engineer, you will own the technical architecture, security, and operational excellence of Endowus’ core data infrastructure. You’ll lead and mentor a team of engineers, collaborate with multiple stakeholders, and design data systems that support massive scale, low latency, and strict compliance requirements.


Key Responsibilities

  • Lead technical architecture, design, delivery, and security for Endowus’ central data platform

  • Partner with Product, Engineering, and cross-functional teams to translate business goals into scalable data solutions

  • Design robust, cloud-native pipelines using Apache Flink / Spark for ingestion, transformation, and aggregation of large-scale data

  • Own platform performance, data privacy, sovereignty, and data quality practices

  • Build streaming data solutions using Kafka, Airflow, AWS Glue, Lake Formation, etc.

  • Integrate internal and external data sources (REST, streaming protocols)

  • Drive the integration of BI tools like Tableau, Looker, or Mode

  • Mentor junior engineers and foster a high-performing data engineering culture


Requirements

  • Bachelor's or higher in Computer Science or a related field

  • 6+ years of experience designing & implementing distributed data systems at scale in the cloud

  • 2+ years in a tech lead role working closely with business stakeholders

  • Deep hands-on expertise with:

    • Apache Flink / Apache Spark

    • Airflow, AWS EMR, DMS, Glue, Lake Formation

    • Kafka, REST APIs, streaming integrations

    • Relational and non-relational databases (advanced SQL)

    • Incremental load pipelines and data streaming

  • Strong skills in Java, Scala, or other JVM languages

  • Experience with CI/CD, observability, testing, and production monitoring

  • Comfortable working in an agile environment with fast iteration cycles

  • Strong ownership, product thinking, and user empathy


Preferred Qualifications

  • Experience in B2C domains or fintech/wealth/trading is a plus

  • Exposure to CQRS / Event Sourcing patterns

  • Familiarity with Cassandra, Kubernetes, Terraform, AWS/GCP


Tech Stack

  • Data Engineering: Apache Flink, Apache Spark, Kafka, Airflow, AWS Glue

  • Storage: Cassandra, PostgreSQL, AWS Lake Formation

  • Languages: Scala, Java

  • Infrastructure: AWS-native, CI/CD, Kubernetes, Terraform

  • BI Tools: Tableau, Looker, Mode


Benefits & Perks

  • Stock options in a fast-growing company *

  • Flexible hours and hybrid work setup

  • Health & life insurance, flexible benefits allowance

  • Employee discount for investing with Endowus

  • Annual leave and other competitive benefits

  • Choice of Apple or PC equipment
    (* = full-time roles only)


How to Apply

To apply, please email Engineering.Careers@Endowus.com with the following details:

Subject Line: [Lead Data Engineer], [Your Name]
Include in Your Email:

  • CV/Resume

  • Cover letter (in the email body)

  • Content portfolio (if applicable – including original content, translation, or social samples)

  • Current location

  • Notice period (if applicable)

  • Visa assistance required? (Y/N)

  • Mention if you are a current Endowus client (encouraged)

Additionally:
Apply via our LinkedIn Job Post and upload your resume directly there.


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