Hybrid Senior SRE, Data/ETL

Posted 3 weeks ago

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About the role

  • Senior Data/ETL Engineer resolving data ingestion and troubleshooting pipelines for B2B WealthTech startup. Collaborating on data management and automation solutions with a focus on observability.

Responsibilities

  • 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.

Requirements

  • 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.

Job title

Senior SRE, Data/ETL

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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