We Are the Perfect Match If You
- Have 4 - 6 years of experience in creating & managing data ingestion pipelines based on the ELT (Extract, Load & Transform) model, at scale.
- Worked on coding for Data Models, Transformation Logic & Data Flow in your current role.
- Know-how of Logstash, Apache BEAM & Dataflow, Apache Airflow, ClickHouse, Grafana, InfluxDB/VictoriaMetrics, BigQuery.
- Understanding of Product Development Methodologies; we follow Agile methodology.
- Have a minimum 4 years of hands-on experience in any data warehousing stack.
- Have a knack for understanding data & can derive insights from it.
- Experience with any TimeSeries DB (we use InfluxDB & VictoriaMetrics) and Alerting / Anomaly Detection Frameworks.
- Visualization Tools: Metabase/ PowerBI/Tableau.
- Experience in developing software in the Cloud such as GCP / AWS.
- A passion for exploring recent technologies and express yourself through technical blogs.
Here s What Your Day Will Look Like
- Coding & implementing Data Pipelines & Frameworks to provide a better developer experience for our dev teams.
- Helping other PODs in IDfy define their data landscape and onboarding them onto our platform.
- Ensuring high quality of secure code with unit test cases and implementation with appropriate monitoring.
- Provide guidance and support to your peers within the team and cross functionally.
- Identify potential issues, troubleshoot, device analytics and help develop contingency plans to ensure that projects pass the IDfy quality gates and are delivered on time and within budget.
- Keep abreast of the latest trends and technologies in Data Engineering, GenAI, and Data Science.
What s it like working at IDfy
We build products that detect and prevent fraud. At IDfy, you will apply your skills to stay one step ahead of fraudsters. You will be mind-mapping fraudsters modus operandi, predicting the evolution of fraud techniques, and designing solutions to prevent new & emerging fraud.
At IDfy, you will w