DataOps/ Analytics Engineer

Connecteam is a TLV-based startup that’s on a mission to change the work experience for 80% of the world’s global workforce - the deskless employees. 

Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business. 

We're looking for highly talented, experienced, passionate, and data-driven DataOps/ Analytics Engineer.

This role bridges the gap between data engineering and analytics teams, focusing on the orchestration, maintenance, and optimization of our analytics infrastructure.

• Orchestration Pipelines: Design and manage data orchestration pipelines using Dagster.
• Data Modeling: Develop and enforce guidelines and standards for data modeling in dbt, ensuring comprehensive documentation and adherence to best practices.
• Data Warehousing: Maintain and optimize our BigQuery data warehouse, focusing on performance monitoring, cost management, and data quality.
• Data Catalog Management: Enhance and maintain our Data Hub data catalog.
• CI/CD Management: Implement CI/CD processes, orchestration pipelines, and automated data quality monitoring to streamline workflows and reduce manual interventions.
• Infrastructure Management: Utilize Kubernetes for hosting, and manage associated tools such as Elasticsearch and Grafana.
• Data Quality: Implement and monitor data quality processes, including alerting and reporting mechanisms.
• Development Workflow Optimization: Improve and maintain development workflows to ensure efficient and seamless data product delivery.
• Collaborative Design: Work alongside business users and data analysts to design and build data models that enhance data discovery and analyses.
• Standards and Best Practices: Contribute to internal standards for style, maintainability, and best practices for a high-scale data infrastructure.
• Documentation and Scalability: Maintain documentation, manage technical debt, and ensure scalability of infrastructure.

Requirements

• Proficiency in Python, Bash, SQL, and Jinja.
• Deep understanding of data workflows, database architecture, and data modeling. (DBT)
• Deep understanding of data warehousing, including performance monitoring, cost management, data partitioning, and query optimization. (Bigquery).
• Familiarity with data cataloging. (DATAHUB).
• Hands-on experience with CI/CD processes.
• Basic knowledge of Kubernetes, Elasticsearch, and Grafana.

Joining Connecteam Is The Smart Move:

• We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties.
• We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business.
• We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. 
• We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family!
• Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. 

Together we will shape the future of work!

Our privacy policy