DataOps Engineer (Freelance | WFH)

About BeGig
BeGig is a tech freelancing platform connecting skilled technology professionals with companies and founders seeking specialized expertise on a flexible, project-based basis.
Your Opportunity
We’re looking for experienced DataOps Engineers who can build, automate, and maintain reliable data pipelines and infrastructure. You’ll work on data integration, orchestration, quality monitoring, and deployment workflows to ensure data is accurate, accessible, secure, and ready for analytics and AI applications.
What You’ll Do
Design, build, and maintain scalable data pipelines and processing workflows
Automate data ingestion, transformation, validation, and delivery processes
Implement and manage ETL/ELT workflows across multiple data sources
Build data pipeline orchestration using tools such as Airflow, Dagster, or Prefect
Implement CI/CD practices for data pipelines, transformations, and infrastructure
Monitor data quality, pipeline performance, failures, and data freshness
Develop automated testing and validation frameworks for data workflows
Manage data infrastructure across cloud platforms and data warehouses
Implement logging, alerting, error handling, and recovery mechanisms
Collaborate with data engineers, analysts, ML engineers, and platform teams
Apply data governance, access control, security, and compliance practices
Optimize pipeline performance, resource utilization, reliability, and cost
What We’re Looking For
Strong experience in DataOps, data engineering, or data platform operations
Proficiency in Python and SQL
Hands-on experience with ETL/ELT pipelines and data integration
Experience with orchestration tools such as Apache Airflow, Dagster, or Prefect
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Experience with data warehouses and lakehouse platforms such as Snowflake, BigQuery, Databricks, or Redshift
Knowledge of CI/CD tools such as GitHub Actions, Jenkins, or GitLab CI
Experience with Docker, Kubernetes, and infrastructure automation is a plus
Understanding of data quality testing, observability, lineage, and metadata management
Familiarity with streaming technologies such as Kafka or Spark is an advantage
Knowledge of monitoring tools, alerting systems, and incident troubleshooting
Understanding of data security, governance, and access management
Strong analytical and problem-solving skills with the ability to work independently
Why BeGig
Flexible freelance and project-based opportunities
Work with startups and enterprises across different industries
Get matched with relevant projects based on your skills and experience
Access to a trusted network of technology professionals and clients
Apply now to join BeGig as a DataOps Engineer and build reliable, automated, and scalable data operations. ⚙️📊

Work arrangement
Yes