DataOps Engineer (Freelance | WFH)

About BeGigBeGig is a tech freelancing platform connecting skilled technology professionals with companies and founders seeking specialized expertise on a flexible, project-based basis.

Your OpportunityWe’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. ⚙️📊