Data Engineering Manager

Key Responsibilities :

- Lead and mentor a data engineering team driving scalable, reliable platform delivery

- Architect high-volume batch and streaming data pipelines across diverse data sources

- Own real-time data lakes and analytics-ready warehouse architectures

- Optimize Kafka-based streaming systems for throughput, latency, and reliability

- Implement observability metrics, dashboards, and alerts for operational KPIs

- Collaborate with product and platform teams on data contracts and integrations

- Drive research and adoption of modern streaming and lakehouse technologies

SKILL :

The Expertise We Require :

These details define the concrete, demonstrable capabilities necessary to take full ownership of the roles responsibilities.

- 10+ years experience in data engineering or backend engineering

- 2+ years in a technical leadership or team-lead role

- Expert-level experience with Kafka for high-throughput streaming systems

- Strong hands-on expertise with PySpark for distributed data processing

- Advanced experience with AWS Glue for ETL orchestration and metadata management

- Proven experience building and upgrading real-time data lakes at scale

- Hands-on knowledge of data warehouses such as Redshift or Snowflake

- Experience with AWS services including S3, Kinesis, Lambda, and RDS

PROCESS : Transparent Path to Partnership

This process is a mutual discovery. imerit, Pieworks (your guide), and your referrer are all invested in confirming your fit and potential.

- HR Screening

- Technical Round

- Hiring Manager Round

- Founder Discussion