Data Engineer
Burq, Inc.1 year ago
Lahore, PakistanMid Level
Responsibilities
- Design and maintain scalable ETL/ELT pipelines to ingest, clean, and transform data from internal systems, third-party APIs, and IoT devices.
- Design and implement data models for analytics, machine learning, and operational systems.
- Own cloud-native data infrastructure using AWS, GCP, or Azure and modern data tools.
- Collaborate with data scientists, analysts, software engineers, product teams, and operations teams to deliver data products.
- Implement monitoring, validation, governance, security, and compliance controls for data quality.
- Architect scalable solutions that support increasing data volume and complexity.
Requirements
- At least 3 years of experience in data engineering, preferably in a startup or high-growth environment.
- Proficiency with SQL and at least one of Python, Scala, or Java.
- Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
- Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect.
- Hands-on experience with Kafka or Kinesis data streaming is a plus.
- Comfort working with ambiguity, rapid iteration, and a small team.
Benefits
- Full-time, on-site position in Lahore, Pakistan.
- Burq is an equal opportunity employer committed to diversity and nondiscrimination.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaAWSAzureGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSnowflakeSQL
Categories
Data Engineering
About Burq, Inc.
Burq builds a delivery management platform and APIs for enterprises that need reliable last‑mile logistics without stitching together multiple carriers and tools. Its Pulse AI agents automate quoting and carrier selection, dispatch across in‑house and third‑party fleets, routing, batching, exception handling, customer updates, and performance analytics for grocery, floral, and specialty retail. Founded in 2021, the company is privately held and raised a Series A in 2024.