Ovii Job Board

Data Engineer

APEXX

Bengaluru, India • Hybrid - Bengaluru, India • Full-Time • 3-7 years

Posted 2026-07-22 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

APEXX seeks a Data Engineer to design, build, and operate scalable batch and streaming data pipelines that power its global payment orchestration platform. The role blends Python/PySpark development, cloud‑based ETL, and data‑warehouse management to deliver reliable, secure data for analytics and product teams.

Role Snapshot

  • Build scalable batch & streaming pipelines
  • Develop and maintain ETL workflows
  • Write production‑grade Python/PySpark code
  • Manage Snowflake and PostgreSQL data warehouses
  • Ensure data quality, integrity, and security
  • Collaborate with analysts, product, and support teams

Must-Have Requirements

  • Python (including PySpark, Boto3)
  • SQL
  • Snowflake
  • PostgreSQL (or Aurora)
  • AWS Glue / Lambda / EMR
  • Data warehousing
  • ETL workflow design
  • Streaming data pipelines
  • Cloud platforms (AWS, Azure)
  • Data pipeline development
  • ETL processes
  • SQL and relational database work

Nice-to-Have Signals

  • FinTech or payments industry experience
  • Azure Data Factory
  • Talend
  • FinTech or payments industry exposure
  • FinTech
  • Payments

Work Setup

  • Location: Bengaluru, India
  • Work mode: HYBRID
  • Remote scope: UNSPECIFIED
  • Employment type: Full-Time

Eligibility Gates

  • Visa sponsorship: unknown

Not Specified in JD

  • Visa sponsorship
  • Salary range
  • Remote eligibility specifics
  • Notice period
  • Travel requirements
  • Security clearance

What You'll Likely Work On

  • Build and operate batch and streaming pipelines with high scalability and fault tolerance
  • Implement and monitor ETL processes that ingest data from multiple sources
  • Write clean, testable Python/PySpark code following OOP and unit‑testing best practices
  • Develop, tune, and manage Snowflake and PostgreSQL/Aurora data warehouses
  • Maintain data quality, integrity, and security across all pipelines
  • Partner with data analysts, product owners, and customer‑support teams to meet data requirements
  • Integrate data solutions with broader engineering architecture in an agile environment

Good Fit If You Have

  • Proactive problem‑solver with strong analytical mindset
  • FinTech or payments industry exposure is a plus
  • Thrives in fast‑paced, collaborative, agile settings
  • Excellent communication for cross‑functional collaboration

Skills

  • Python (PySpark, Boto3)
  • SQL
  • Snowflake
  • PostgreSQL / Aurora
  • AWS data services (Glue, Lambda, EMR)
  • Azure Data Factory (preferred)
  • Talend (preferred)
  • Data warehousing
  • ETL design
  • Streaming data pipelines
  • Cloud platforms (AWS, Azure)