Data Engineer(Freelance | WFH)

About BeGig

BeGig connects companies with data engineers who build reliable, scalable data systems. Joining BeGig gives you access to analytics, ML, and infrastructure-heavy data roles.

Your Opportunity

Join BeGig as a Data Engineer and design end-to-end data pipelines that power analytics, reporting, and machine learning workloads.

Role Overview

As a Data Engineer, you will:

• Build ETL/ELT pipelines for structured and unstructured data.
• Design data models, warehouses, and ingestion frameworks.
• Work with distributed data systems for scale and performance.
• Collaborate with analysts, ML engineers, and product teams.
• Monitor pipeline health, data quality, and lineage.

Technical Requirements & Skills

• Experience: 2–4 years in data engineering.
• Tools: Airflow, dbt, Spark, Kafka.
• Warehouses: BigQuery, Snowflake, Redshift, Databricks.
• Languages: Python & SQL required.
• Bonus: Experience with real-time streaming or Lakehouse architectures.

What We’re Looking For

• Engineer who understands how data flows through complex systems.
• Strong debugging and optimization skills.
• Comfortable owning pipeline reliability end-to-end.

Why Join Us?

• Impact: Build the backbone for analytics and ML operations.
• Flexibility: Remote data engineering roles across industries.

Network: Collaborate with senior data and ML professionals.