Full Stack DevOps Engineer developing and optimizing web solutions at innovative IT consulting firm 0NLU. Collaboration with product management and design for modern applications and infrastructure.
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
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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