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Senior SRE (Data / ETL)

Alpheya
Full-time
Remote friendly (Bengaluru Karnataka India)
Worldwide

We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America’s oldest bank and first company to list on NYSE) and Lunate (a new $50B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.

Our mission is to power and grow our clients’ Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.

While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.

For more information, please visit www.alpheya.com

Role

We are looking for Senior Data/ETL Engineers with strong knowledge of SQL and PostgreSQL who can debug and manage data ingestion pipelines. This role requires strong data troubleshooting and operational skills, along with interest in observability and platform operations.

  • Debug and resolve data ingestion and mapping issues for clients.
  • Understand current data mappings for file ingestions (FinTech files) for each client.
  • Work with ETL/ELT pipelines and messaging systems (Kafka or any custom ingestion services).
  • Validate and process data in common formats (CSV, JSON, Parquet).
  • Monitor and optimize data pipelines with Prometheus/Grafana alerts.
  • Collaborate with software engineers on schema evolution and data contracts.
  • Contribute automation scripts in Python/Shell to reduce repetitive tasks.
  • Participate in on-call for production data issues.
  • Strong knowledge of SQL and PostgreSQL.
  • Experience with ETL/ELT pipelines and messaging systems (Kafka, Spark optional).
  • Understanding of data formats (CSV, JSON, Parquet).
  • Familiarity with MySQL, Snowflake, or BigQuery.
  • Exposure to Kubernetes, Docker, AKS for running data jobs.
  • Ability to debug ingestion errors and runtime failures.

Good to Have

  • Experience with Temporal workflows or distributed systems.
  • Prior exposure to observability stacks (Prometheus, Grafana, Loki, Tempo).
  • Interest in transitioning towards SRE/Platform engineering.
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